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vector cyber security training: Global Software and IT Christof Ebert, 2011-09-26 Based on the author’s first-hand experience and expertise, this book offers a proven framework for global software engineering. Readers will learn best practices for managing a variety of software projects, coordinating the activities of several locations across the globe while accounting for cultural differences. Most importantly, readers will learn how to engineer a first-rate software product as efficiently as possible by fully leveraging global personnel and resources. Global Software and IT takes a unique approach that works for projects of any size, examining such critical topics as: Executing a seamless project across multiple locations Mitigating the risks of off-shoring Developing and implementing processes for global development Establishing practical outsourcing guidelines Fostering effective collaboration and communication across continents and culture This book provides a balanced framework for planning global development, covering topics such as managing people in distributed sites and managing a project across locations. It delivers a comprehensive business model that is beneficial to anyone looking for the most cost-effective, efficient way to engineer good software products. |
vector cyber security training: Privileged Attack Vectors Morey J. Haber, 2020-06-13 See how privileges, insecure passwords, administrative rights, and remote access can be combined as an attack vector to breach any organization. Cyber attacks continue to increase in volume and sophistication. It is not a matter of if, but when, your organization will be breached. Threat actors target the path of least resistance: users and their privileges. In decades past, an entire enterprise might be sufficiently managed through just a handful of credentials. Today’s environmental complexity has seen an explosion of privileged credentials for many different account types such as domain and local administrators, operating systems (Windows, Unix, Linux, macOS, etc.), directory services, databases, applications, cloud instances, networking hardware, Internet of Things (IoT), social media, and so many more. When unmanaged, these privileged credentials pose a significant threat from external hackers and insider threats. We are experiencing an expanding universe of privileged accounts almost everywhere. There is no one solution or strategy to provide the protection you need against all vectors and stages of an attack. And while some new and innovative products will help protect against or detect against a privilege attack, they are not guaranteed to stop 100% of malicious activity. The volume and frequency of privilege-based attacks continues to increase and test the limits of existing security controls and solution implementations. Privileged Attack Vectors details the risks associated with poor privilege management, the techniques that threat actors leverage, and the defensive measures that organizations should adopt to protect against an incident, protect against lateral movement, and improve the ability to detect malicious activity due to the inappropriate usage of privileged credentials. This revised and expanded second edition covers new attack vectors, has updated definitions for privileged access management (PAM), new strategies for defense, tested empirical steps for a successful implementation, and includes new disciplines for least privilege endpoint management and privileged remote access. What You Will Learn Know how identities, accounts, credentials, passwords, and exploits can be leveraged to escalate privileges during an attack Implement defensive and monitoring strategies to mitigate privilege threats and risk Understand a 10-step universal privilege management implementation plan to guide you through a successful privilege access management journey Develop a comprehensive model for documenting risk, compliance, and reporting based on privilege session activity Who This Book Is For Security management professionals, new security professionals, and auditors looking to understand and solve privilege access management problems |
vector cyber security training: Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection Shilpa Mahajan, Mehak Khurana, Vania Vieira Estrela, 2024-03-22 APPLYING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY ANALYTICS AND CYBER THREAT DETECTION Comprehensive resource providing strategic defense mechanisms for malware, handling cybercrime, and identifying loopholes using artificial intelligence (AI) and machine learning (ML) Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is a comprehensive look at state-of-the-art theory and practical guidelines pertaining to the subject, showcasing recent innovations, emerging trends, and concerns as well as applied challenges encountered, and solutions adopted in the fields of cybersecurity using analytics and machine learning. The text clearly explains theoretical aspects, framework, system architecture, analysis and design, implementation, validation, and tools and techniques of data science and machine learning to detect and prevent cyber threats. Using AI and ML approaches, the book offers strategic defense mechanisms for addressing malware, cybercrime, and system vulnerabilities. It also provides tools and techniques that can be applied by professional analysts to safely analyze, debug, and disassemble any malicious software they encounter. With contributions from qualified authors with significant experience in the field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection explores topics such as: Cybersecurity tools originating from computational statistics literature and pure mathematics, such as nonparametric probability density estimation, graph-based manifold learning, and topological data analysis Applications of AI to penetration testing, malware, data privacy, intrusion detection system (IDS), and social engineering How AI automation addresses various security challenges in daily workflows and how to perform automated analyses to proactively mitigate threats Offensive technologies grouped together and analyzed at a higher level from both an offensive and defensive standpoint Providing detailed coverage of a rapidly expanding field, Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection is an essential resource for a wide variety of researchers, scientists, and professionals involved in fields that intersect with cybersecurity, artificial intelligence, and machine learning. |
vector cyber security training: Cyber Security Cryptography and Machine Learning Shlomi Dolev, Oded Margalit, Benny Pinkas, Alexander Schwarzmann, 2021-07-01 This book constitutes the refereed proceedings of the 5th International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2021, held in Be'er Sheva, Israel, in July 2021. The 22 full and 13 short papers presented together with a keynote paper in this volume were carefully reviewed and selected from 48 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in these research areas. |
vector cyber security training: Versatile Cybersecurity Mauro Conti, Gaurav Somani, Radha Poovendran, 2018-10-17 Cyber security research is one of the important areas in the computer science domain which also plays a major role in the life of almost every individual, enterprise, society and country, which this book illustrates. A large number of advanced security books focus on either cryptography or system security which covers both information and network security. However, there is hardly any books available for advanced-level students and research scholars in security research to systematically study how the major attacks are studied, modeled, planned and combated by the community. This book aims to fill this gap. This book provides focused content related to specific attacks or attack families. These dedicated discussions in the form of individual chapters covers the application or area specific aspects, while discussing the placement of defense solutions to combat the attacks. It includes eight high quality chapters from established security research groups worldwide, which address important attacks from theoretical (modeling) as well as practical aspects. Each chapter brings together comprehensive and structured information on an attack or an attack family. The authors present crisp detailing on the state of the art with quality illustration of defense mechanisms and open research problems. This book also covers various important attacks families such as insider threats, semantics social engineering attacks, distributed denial of service attacks, botnet based attacks, cyber physical malware based attacks, cross-vm attacks, and IoT covert channel attacks. This book will serve the interests of cyber security enthusiasts, undergraduates, post-graduates, researchers and professionals working in this field. |
vector cyber security training: Science of Cyber Security Feng Liu, Jia Xu, Shouhuai Xu, Moti Yung, 2019-12-06 This book constitutes the proceedings of the Second International Conference on Science of Cyber Security, SciSec 2019, held in Nanjing, China, in August 2019. The 20 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 62 submissions. These papers cover the following subjects: Artificial Intelligence for Cybersecurity, Machine Learning for Cybersecurity, and Mechanisms for Solving Actual Cybersecurity Problems (e.g., Blockchain, Attack and Defense; Encryptions with Cybersecurity Applications). |
vector cyber security training: Cyber Security: Analytics, Technology and Automation Martti Lehto, Pekka Neittaanmäki, 2015-05-30 The book, in addition to the cyber threats and technology, processes cyber security from many sides as a social phenomenon and how the implementation of the cyber security strategy is carried out. The book gives a profound idea of the most spoken phenomenon of this time. The book is suitable for a wide-ranging audience from graduate to professionals/practitioners and researchers. Relevant disciplines for the book are Telecommunications / Network security, Applied mathematics / Data analysis, Mobile systems / Security, Engineering / Security of critical infrastructure and Military science / Security. |
vector cyber security training: Science of Cyber Security Jun Zhao, Weizhi Meng, 2025-03-03 This book constitutes the refereed proceedings of the 6th International Conference on Science of Cyber Security, SciSec 2024, held in Copenhagen, Denmark, during August 14–16, 2024. The 25 full papers presented here were carefully selected and reviewed from 79 submissions. These papers focus on the recent research, trends and challenges in the emerging field of Cyber Security. |
vector cyber security training: Machine Learning for Cyber Security Yuan Xu, Hongyang Yan, Huang Teng, Jun Cai, Jin Li, 2023-01-12 The three-volume proceedings set LNCS 13655,13656 and 13657 constitutes the refereedproceedings of the 4th International Conference on Machine Learning for Cyber Security, ML4CS 2022, which taking place during December 2–4, 2022, held in Guangzhou, China. The 100 full papers and 46 short papers were included in these proceedings were carefully reviewed and selected from 367 submissions. |
vector cyber security training: Cyber Security Defence in Depth Mark Hayward, 2025-04-24 This book delves into the multifaceted concept of Defence in Depth, a critical strategy in the realm of cyber security designed to protect organizations from a myriad of threats. Beginning with foundational definitions and the importance of this approach, it systematically explores the various layers of security that form a robust defense. The text examines essential security models, risk management principles, and layered security concepts, providing readers with a comprehensive understanding of vulnerabilities, exploits, and the evolving landscape of cyber threats. In addition to theoretical frameworks, the book offers practical guidance on designing secure networks, implementing segmentation strategies, and employing critical technologies such as firewalls, intrusion detection systems, and VPNs. It emphasizes the importance of endpoint protection, encryption standards, data loss prevention strategies, and incident response planning. |
vector cyber security training: Cyber Security Wei Lu, Yuqing Zhang, Weiping Wen, Hanbing Yan, Chao Li, 2022-12-09 This open access book constitutes the refereed proceedings of the 18th China Annual Conference on Cyber Security, CNCERT 2022, held in Beijing, China, in August 2022. The 17 papers presented were carefully reviewed and selected from 64 submissions. The papers are organized according to the following topical sections: data security; anomaly detection; cryptocurrency; information security; vulnerabilities; mobile internet; threat intelligence; text recognition. |
vector cyber security training: Cybersecurity for Reconfigurable Hardware Based Critical Infrastructures Krishnendu Guha, Jyoti Prakash Singh, Amlan Chakrabarti, 2024-10-03 The book commences with an introductory section on reconfigurable computing and thereafter delves into its applications in critical infrastructures. This book analyzes how such systems may be affected due to vulnerabilities and also discusses how these can be attacked by adversaries or cybercriminals. This book also discusses protection mechanisms related to such threats. It initially starts with an introduction to the various industrial revolutions and the changes in security needs, followed by a basic description of reconfigurable hardware based critical infrastructures. Further, the book contains discussion on security administration and planning, auditing, monitoring and analysis, risk-response and recovery, control and countermeasures highlighting their need in reconfigurable hardware-based platforms. In addition to these, new concepts are introduced such as AI/ML for cybersecurity, digital forensics related to reconfigurable hardware based critical infrastructures. Finally, a hands on learning experience is presented to provide the readers with a practical flavour. The book will be useful to students (graduate and undergraduate), researchers, academicians and industry professionals. |
vector cyber security training: Cyber Security: Power and Technology Martti Lehto, Pekka Neittaanmäki, 2018-05-04 This book gathers the latest research results of scientists from different countries who have made essential contributions to the novel analysis of cyber security. Addressing open problems in the cyber world, the book consists of two parts. Part I focuses on cyber operations as a new tool in global security policy, while Part II focuses on new cyber security technologies when building cyber power capabilities. The topics discussed include strategic perspectives on cyber security and cyber warfare, cyber security implementation, strategic communication, trusted computing, password cracking, systems security and network security among others. |
vector cyber security training: Machine Learning for Cyber Security Xiaofeng Chen, Hongyang Yan, Qiben Yan, Xiangliang Zhang, 2020-11-10 This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber Security, ML4CS 2020, held in Xi’an, China in October 2020. The 118 full papers and 40 short papers presented were carefully reviewed and selected from 360 submissions. The papers offer a wide range of the following subjects: Machine learning, security, privacy-preserving, cyber security, Adversarial machine Learning, Malware detection and analysis, Data mining, and Artificial Intelligence. |
vector cyber security training: Frontiers in Cyber Security Emmanuel Ahene, Fagen Li, 2022-12-02 This book constitutes the refereed proceedings of the 5th International Conference on Frontiers in Cyber Security, FCS 2022, held in Kumasi, Ghana, during December 13–15, 2022. The 26 full papers were included in this book were carefully reviewed and selected from 65 submissions. They were organized in topical sections as follows: ioT Security; artificial intelligence and cyber security; blockchain technology and application; cryptography; database security; quantum cryptography; and network security. |
vector cyber security training: Handbook of Research on Multimedia Cyber Security Gupta, Brij B., Gupta, Deepak, 2020-04-03 Because it makes the distribution and transmission of digital information much easier and more cost effective, multimedia has emerged as a top resource in the modern era. In spite of the opportunities that multimedia creates for businesses and companies, information sharing remains vulnerable to cyber attacks and hacking due to the open channels in which this data is being transmitted. Protecting the authenticity and confidentiality of information is a top priority for all professional fields that currently use multimedia practices for distributing digital data. The Handbook of Research on Multimedia Cyber Security provides emerging research exploring the theoretical and practical aspects of current security practices and techniques within multimedia information and assessing modern challenges. Featuring coverage on a broad range of topics such as cryptographic protocols, feature extraction, and chaotic systems, this book is ideally designed for scientists, researchers, developers, security analysts, network administrators, scholars, IT professionals, educators, and students seeking current research on developing strategies in multimedia security. |
vector cyber security training: Computational Intelligence, Cyber Security and Computational Models Muthukrishnan Senthilkumar, Vijayalakshmi Ramasamy, Shina Sheen, C. Veeramani, Anthony Bonato, Lynn Batten, 2015-12-18 This book aims at promoting high-quality research by researchers and practitioners from academia and industry at the International Conference on Computational Intelligence, Cyber Security, and Computational Models ICC3 2015 organized by PSG College of Technology, Coimbatore, India during December 17 – 19, 2015. This book enriches with innovations in broad areas of research like computational modeling, computational intelligence and cyber security. These emerging inter disciplinary research areas have helped to solve multifaceted problems and gained lot of attention in recent years. This encompasses theory and applications, to provide design, analysis and modeling of the aforementioned key areas. |
vector cyber security training: Science of Cyber Security Chunhua Su, Kouichi Sakurai, Feng Liu, 2022-09-29 This book constitutes the proceedings of the 4th International Conference on Science of Cyber Security, SciSec 2022, held in Matsu, Japan in August 2022. The 36 full papers presented in this volume were carefully reviewed and selected from 88 submissions. The papers are organized in the following topical sections: blockchain and applications; cryptography and applications; network security; cyber-physical system; malware; mobile system security; system and web security; security in financial industry; social engineering and personalized security; privacy and anonymity. |
vector cyber security training: Advances in Cyber Security Mohammed Anbar, Nibras Abdullah, Selvakumar Manickam, 2020-01-16 This book presents refereed proceedings of the First International Conference on Advances in Cyber Security, ACeS 2019, held in Penang, Malaysia, in July-August 2019. The 25 full papers and 1 short paper were carefully reviewed and selected from 87 submissions. The papers are organized in topical sections on internet of things, industry and blockchain, and cryptology; digital forensics and surveillance, botnet and malware, and DDoS and intrusion detection/prevention; ambient cloud and edge computing, wireless and cellular communication. |
vector cyber security training: Smart Grid and Cyber Security Technologies Dajun Du, Xinchun Jia, Wanqing Zhao, Xue Li, Xin Sun, Zhiru Cao, 2024-12-27 The five-volume set constitutes the thoroughly refereed proceedings of the 8th International Conference on Life System Modeling and Simulation, LSMS 2024, and of the 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, which were held during September 13-15, in Suzhou, China. The 34 papers presented were carefully reviewed and selected from over 496 submissions. The LSMS and ICSEE international conference series aim to bring together international researchers and practitioners in the fields of advanced methods for life system modeling and simulation, as well as advanced intelligent computing theory, methodologies, and engineering applications in achieving net zero across all sectors to tackle the global climate change challenge. |
vector cyber security training: Network Science and Cybersecurity Robinson E. Pino, 2013-06-14 Network Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.S. Government Departments of Defense, industry and academic laboratories. This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (IDS) are explored as a key component of any general network intrusion detection service, complementing signature-based IDS components by attempting to identify novel attacks. These attacks may not yet be known or have well-developed signatures. Methods are also suggested to simplify the construction of metrics in such a manner that they retain their ability to effectively cluster data, while simultaneously easing human interpretation of outliers. This is a professional book for practitioners or government employees working in cybersecurity, and can also be used as a reference. Advanced-level students in computer science or electrical engineering studying security will also find this book useful . |
vector cyber security training: Machine Learning for Cyber Security Yang Xiang, Jian Shen, 2025-05-02 This book constitutes the referred proceedings of the 6th International Conference on Machine Learning for Cyber Security, ML4CS 2024, held in Hangzhou, China, during December 27–29, 2024. The 30 full papers presented in this book were carefully reviewed and selected from 111 submissions. ML4CS is a well-recognized annual international forum for AI-driven security researchers to exchange ideas and present their works. The conference focus on topics such as blockchain, network security, system security, software security, threat intelligence, cybersecurity situational awareness and much many more. |
vector cyber security training: Deep Learning Applications for Cyber Security Mamoun Alazab, MingJian Tang, 2019-08-14 Cybercrime remains a growing challenge in terms of security and privacy practices. Working together, deep learning and cyber security experts have recently made significant advances in the fields of intrusion detection, malicious code analysis and forensic identification. This book addresses questions of how deep learning methods can be used to advance cyber security objectives, including detection, modeling, monitoring and analysis of as well as defense against various threats to sensitive data and security systems. Filling an important gap between deep learning and cyber security communities, it discusses topics covering a wide range of modern and practical deep learning techniques, frameworks and development tools to enable readers to engage with the cutting-edge research across various aspects of cyber security. The book focuses on mature and proven techniques, and provides ample examples to help readers grasp the key points. |
vector cyber security training: A Systems Approach to Cyber Security A. Roychoudhury, Y. Liu, 2017-02-24 With our ever-increasing reliance on computer technology in every field of modern life, the need for continuously evolving and improving cyber security remains a constant imperative. This book presents the 3 keynote speeches and 10 papers delivered at the 2nd Singapore Cyber Security R&D Conference (SG-CRC 2017), held in Singapore, on 21-22 February 2017. SG-CRC 2017 focuses on the latest research into the techniques and methodologies of cyber security. The goal is to construct systems which are resistant to cyber-attack, enabling the construction of safe execution environments and improving the security of both hardware and software by means of mathematical tools and engineering approaches for the design, verification and monitoring of cyber-physical systems. Covering subjects which range from messaging in the public cloud and the use of scholarly digital libraries as a platform for malware distribution, to low-dimensional bigram analysis for mobile data fragment classification, this book will be of interest to all those whose business it is to improve cyber security. |
vector cyber security training: Smart Computing and Communication Meikang Qiu, 2019-11-04 This book constitutes the refereed proceedings of the 4th International Conference on Smart Computing and Communications, SmartCom 2019, held in Birmingham, UK, in October 2019. The 40 papers presented in this volume were carefully reviewed and selected from 286 submissions. They focus on both smart computing and communications fields and aimed to collect recent academic work to improve the research and practical application in the field. |
vector cyber security training: Cyber Security Intelligence and Analytics Zheng Xu, Saed Alrabaee, Octavio Loyola-González, Xiaolu Zhang, Niken Dwi Wahyu Cahyani, Nurul Hidayah Ab Rahman, 2022-02-26 This book presents the outcomes of the 2022 4th International Conference on Cyber Security Intelligence and Analytics (CSIA 2022), an international conference dedicated to promoting novel theoretical and applied research advances in the interdisciplinary field of cyber-security, particularly focusing on threat intelligence, analytics, and countering cyber-crime. The conference provides a forum for presenting and discussing innovative ideas, cutting-edge research findings and novel techniques, methods and applications on all aspects of cyber-security intelligence and analytics. Due to COVID-19, authors, keynote speakers and PC committees will attend the conference online. |
vector cyber security training: Advances in Cyber Security: Principles, Techniques, and Applications Kuan-Ching Li, Xiaofeng Chen, Willy Susilo, 2018-12-06 This book provides state-of-the-art coverage of the principles, techniques, and management of issues in cyber security, including threat attacks, privacy, signature and encryption schemes. One of the most important topics addressed concerns lightweight solutions for public key encryption in resource-constrained environments; the book highlights the latest developments in this area. Authentication is another central issue in cyber security. In this book, we address this aspect and sub-aspects ranging from cryptographic approaches to practical design issues, such as CAPTCHA. Privacy is another main topic that is discussed in detail, from techniques for enhancing privacy to pseudonymous schemes. Addressing key issues in the emerging field of cyber security, this book effectively bridges the gap between computer security and threat attacks, and showcases promising applications involving cryptography and security. |
vector cyber security training: International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018 Jemal Abawajy, Kim-Kwang Raymond Choo, Rafiqul Islam, Zheng Xu, Mohammed Atiquzzaman, 2018-11-05 The book highlights innovative ideas, cutting-edge findings, and novel techniques, methods and applications touching on all aspects of technology and intelligence in smart city management and services. Above all, it explores developments and applications that are of practical use and value for Cyber Intelligence-related methods, which are frequently used in the context of city management and services. |
vector cyber security training: MACHINE LEARNING FOR CYBER SECURITY DETECTING ANOMALIES AND INSTRUSIONS Dr. Aadam Quraishi, Vikas Raina, Aditya Mahamkali, Arijeet Chandra Sen, 2023-12-12 Because the Internet is so widespread in modern life and because of the expansion of technologies that are tied to it, such as smart cities, self-driving cars, health monitoring via wearables, and mobile banking, a growing number of people are becoming reliant on and addicted to the Internet. In spite of the fact that these technologies provide a great deal of improvement to individuals and communities, they are not without their fair share of concerns. By way of illustration, hackers have the ability to steal from or disrupt companies, therefore inflicting damage to people all across the world, if they exploit weaknesses. As a consequence of cyberattacks, businesses can face financial losses as well as damage to their reputation. Consequently, the security of the network has become a significant concern as a result. Organizations place a significant amount of reliance on tried-and-true technologies such as firewalls, encryption, and antivirus software when it comes to securing their network infrastructure. Unfortunately, these solutions are not completely infallible; they are merely a first line of security against malware and other sophisticated threats. Therefore, it is possible that certain persons who have not been sanctioned may still get access, which might result in a breach of security. For the purpose of preventing intrusion detection, computer systems need to be safeguarded against both illegal users, such as hackers, and legitimate users, such as insiders. A breach of a computer system may result in a number of undesirable results, including the loss of data, restricted access to internet services, the loss of sensitive data, and the exploitation of private resources. an initial version of the Intrusion Detection System (IDS) was constructed. In light of the fact that it is a that is essential for the protection of computer networks, it has therefore become a subject of study that is widely pursued. Given the current condition of cybercrime, it is impossible to deny the significance of the intrusion detection system (IDS). A possible example of how the IDS taxonomy is arranged may be found here. The intrusion detection system, often known as an IDS, is a piece of software or hardware that monitors a computer or network environment, searches for indications of intrusion, and then notifies the user of any potential threats. Utilizing this warning report is something that the administrator or user may do in order to repair the vulnerability that exists inside the system or network. In the aftermath of an intrusion, it may be purposeful or unlawful to attempt to access the data |
vector cyber security training: Proceedings of 3rd International Conference on Smart Computing and Cyber Security Prasant Kumar Pattnaik, Mangal Sain, Ahmed A. Al-Absi, 2024-07-27 This book presents high-quality research papers presented at the Third International Conference on Smart Computing and Cyber Security: Strategic Foresight, Security Challenges and Innovation (SMARTCYBER 2023) held during December 5–6, 2023, in the Department of Smart Computing, Kyungdong University, Global Campus, South Korea. The book includes selected works from academics and industrial experts in the fields of computer science, information technology, and electronics and telecommunication. The content addresses challenges of cyber security. |
vector cyber security training: The "Essence" of Network Security: An End-to-End Panorama Mohuya Chakraborty, Moutushi Singh, Valentina E. Balas, Indraneel Mukhopadhyay, 2020-11-24 This edited book provides an optimal portrayal of the principles and applications related to network security. The book is thematically divided into five segments: Part A describes the introductory issues related to network security with some concepts of cutting-edge technologies; Part B builds from there and exposes the readers to the digital, cloud and IoT forensics; Part C presents readers with blockchain and cryptography techniques; Part D deals with the role of AI and machine learning in the context of network security. And lastly, Part E is written on different security networking methodologies. This is a great book on network security, which has lucid and well-planned chapters. All the latest security technologies are thoroughly explained with upcoming research issues. Details on Internet architecture, security needs, encryption, cryptography along with the usages of machine learning and artificial intelligence for network security are presented in a single cover. The broad-ranging text/reference comprehensively surveys network security concepts, methods, and practices and covers network security policies and goals in an integrated manner. It is an essential security resource for practitioners in networks and professionals who develop and maintain secure computer networks. |
vector cyber security training: Proceedings of Fourth International Conference on Computing, Communications, and Cyber-Security Sudeep Tanwar, Slawomir T. Wierzchon, Pradeep Kumar Singh, Maria Ganzha, Gregory Epiphaniou, 2023-07-01 This book features selected research papers presented at the Fourth International Conference on Computing, Communications, and Cyber-Security (IC4S 2022), organized in Ghaziabad India, during October 21–22, 2022. The conference was hosted at KEC Ghaziabad in collaboration with WSG Poland, SFU Russia, & CSRL India. It includes innovative work from researchers, leading innovators, and professionals in the area of communication and network technologies, advanced computing technologies, data analytics and intelligent learning, the latest electrical and electronics trends, and security and privacy issues. |
vector cyber security training: Cyber Security Cryptography and Machine Learning Itai Dinur, Shlomi Dolev, Sachin Lodha, 2018-06-16 This book constitutes the refereed proceedings of the Second International Symposium on Cyber Security Cryptography and Machine Learning, CSCML 2018, held in Beer-Sheva, Israel, in June 2018. The 16 full and 6 short papers presented in this volume were carefully reviewed and selected from 44 submissions. They deal with the theory, design, analysis, implementation, or application of cyber security, cryptography and machine learning systems and networks, and conceptually innovative topics in the scope. |
vector cyber security training: Cybersecurity Unveiled Archana K [AK], 2024-02-27 In this comprehensive guide to cybersecurity, Archana K takes readers on a journey from the foundational principles of digital defense to cutting-edge strategies for navigating the ever-evolving cyber landscape. From historical context and emerging threats to ethical considerations, the book provides a holistic view of cybersecurity. Offering practical insights and emphasizing collaboration, it empowers both seasoned professionals and newcomers to fortify their digital defenses. With a focus on adaptability and shared responsibility, “Securing the Digital Horizon” serves as a valuable resource for those dedicated to safeguarding our interconnected world. |
vector cyber security training: HCI for Cybersecurity, Privacy and Trust Abbas Moallem, 2024-05-31 This proceedings, HCI-CPT 2024, constitutes the refereed proceedings of the 6th International Conference on Cybersecurity, Privacy and Trust, held as Part of the 26th International Conference, HCI International 2024, which took place from June 29 - July 4, 2024 in Washington DC, USA. Two volumes of the HCII 2024 proceedings are dedicated to this year’s edition of the HCI-CPT Conference. The first focuses on topics related to Cyber Hygiene, User Behavior and Security Awareness, and User Privacy and Security Acceptance. The second focuses on topics related to Cybersecurity Education and Training, and Threat Assessment and Protection. |
vector cyber security training: Machine Learning Approaches in Cyber Security Analytics Tony Thomas, Athira P. Vijayaraghavan, Sabu Emmanuel, 2019-12-16 This book introduces various machine learning methods for cyber security analytics. With an overwhelming amount of data being generated and transferred over various networks, monitoring everything that is exchanged and identifying potential cyber threats and attacks poses a serious challenge for cyber experts. Further, as cyber attacks become more frequent and sophisticated, there is a requirement for machines to predict, detect, and identify them more rapidly. Machine learning offers various tools and techniques to automate and quickly predict, detect, and identify cyber attacks. |
vector cyber security training: Hands-On Machine Learning for Cybersecurity Soma Halder, Sinan Ozdemir, 2018-12-31 Get into the world of smart data security using machine learning algorithms and Python libraries Key FeaturesLearn machine learning algorithms and cybersecurity fundamentalsAutomate your daily workflow by applying use cases to many facets of securityImplement smart machine learning solutions to detect various cybersecurity problemsBook Description Cyber threats today are one of the costliest losses that an organization can face. In this book, we use the most efficient tool to solve the big problems that exist in the cybersecurity domain. The book begins by giving you the basics of ML in cybersecurity using Python and its libraries. You will explore various ML domains (such as time series analysis and ensemble modeling) to get your foundations right. You will implement various examples such as building system to identify malicious URLs, and building a program to detect fraudulent emails and spam. Later, you will learn how to make effective use of K-means algorithm to develop a solution to detect and alert you to any malicious activity in the network. Also learn how to implement biometrics and fingerprint to validate whether the user is a legitimate user or not. Finally, you will see how we change the game with TensorFlow and learn how deep learning is effective for creating models and training systems What you will learnUse machine learning algorithms with complex datasets to implement cybersecurity conceptsImplement machine learning algorithms such as clustering, k-means, and Naive Bayes to solve real-world problemsLearn to speed up a system using Python libraries with NumPy, Scikit-learn, and CUDAUnderstand how to combat malware, detect spam, and fight financial fraud to mitigate cyber crimesUse TensorFlow in the cybersecurity domain and implement real-world examplesLearn how machine learning and Python can be used in complex cyber issuesWho this book is for This book is for the data scientists, machine learning developers, security researchers, and anyone keen to apply machine learning to up-skill computer security. Having some working knowledge of Python and being familiar with the basics of machine learning and cybersecurity fundamentals will help to get the most out of the book |
vector cyber security training: Machine Learning for Computer and Cyber Security Brij B. Gupta, Quan Z. Sheng, 2019-02-05 While Computer Security is a broader term which incorporates technologies, protocols, standards and policies to ensure the security of the computing systems including the computer hardware, software and the information stored in it, Cyber Security is a specific, growing field to protect computer networks (offline and online) from unauthorized access, botnets, phishing scams, etc. Machine learning is a branch of Computer Science which enables computing machines to adopt new behaviors on the basis of observable and verifiable data and information. It can be applied to ensure the security of the computers and the information by detecting anomalies using data mining and other such techniques. This book will be an invaluable resource to understand the importance of machine learning and data mining in establishing computer and cyber security. It emphasizes important security aspects associated with computer and cyber security along with the analysis of machine learning and data mining based solutions. The book also highlights the future research domains in which these solutions can be applied. Furthermore, it caters to the needs of IT professionals, researchers, faculty members, scientists, graduate students, research scholars and software developers who seek to carry out research and develop combating solutions in the area of cyber security using machine learning based approaches. It is an extensive source of information for the readers belonging to the field of Computer Science and Engineering, and Cyber Security professionals. Key Features: This book contains examples and illustrations to demonstrate the principles, algorithms, challenges and applications of machine learning and data mining for computer and cyber security. It showcases important security aspects and current trends in the field. It provides an insight of the future research directions in the field. Contents of this book help to prepare the students for exercising better defense in terms of understanding the motivation of the attackers and how to deal with and mitigate the situation using machine learning based approaches in better manner. |
vector cyber security training: HCI International 2023 – Late Breaking Posters Constantine Stephanidis, Margherita Antona, Stavroula Ntoa, Gavriel Salvendy, 2023-12-11 This two-volme set CCIS 1957-1958 is part of the refereed proceedings of the 25th International Conference on Human-Computer Interaction, HCII 2023, which was held in Copenhagen, Denmark, in July 2023. A total of 5583 individuals from academia, research institutes, industry, and governmental agencies from 88 countries submitted contributions, and 1276 papers and 275 posters were included in the proceedings that were published just before the start of the conference. Additionally, 296 papers and 181 posters are included in the volumes of the proceedings published after the conference, as “Late Breaking Work” (papers and posters). The contributions thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. |
vector cyber security training: Science of Cyber Security Wenlian Lu, Kun Sun, Moti Yung, Feng Liu, 2021-10-09 This book constitutes the proceedings of the Third International Conference on Science of Cyber Security, SciSec 2021, held in Shanghai, China, in August 2021. The 17 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 50 submissions. These papers cover the following subjects: Cyber Security, Detection, Machine Learning and much more. |
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