Evaluate Network Security Capabilities
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Handbook of Research on Information and Cyber Security in the Fourth Industrial Revolution
The prominence and growing dependency on information communication technologies in nearly every aspect of life has opened the door to threats in cyberspace. Criminal elements inside and outside organizations gain access to information that can cause financial and reputational damage. Criminals also target individuals daily with personal devices like smartphones and home security systems who are often unaware of the dangers and the privacy threats around them. The Handbook of Research on Information and Cyber Security in the Fourth Industrial Revolution is a critical scholarly resource that creates awareness of the severity of cyber information threats on personal, business, governmental, and societal levels. The book explores topics such as social engineering in information security, threats to cloud computing, and cybersecurity resilience during the time of the Fourth Industrial Revolution. As a source that builds on available literature and expertise in the field of information technology and security, this publication proves useful for academicians, educationalists, policy makers, government officials, students, researchers, and business leaders and managers.
Network Security Empowered by Artificial Intelligence
This book introduces cutting-edge methods on security in spectrum management, mobile networks and next-generation wireless networks in the era of artificial intelligence (AI) and machine learning (ML). This book includes four parts: (a) Architecture Innovations and Security in 5G Networks, (b) Security in Artificial Intelligence-enabled Intrusion Detection Systems. (c) Attack and Defense in Artificial Intelligence-enabled Wireless Systems, (d) Security in Network-enabled Applications. The first part discusses the architectural innovations and security challenges of 5G networks, highlighting novel network structures and strategies to counter vulnerabilities. The second part provides a comprehensive analysis of intrusion detection systems and the pivotal role of AI and machine learning in defense and vulnerability assessment. The third part focuses on wireless systems, where deep learning is explored to enhance wireless communication security. The final part broadens the scope, examining the applications of these emerging technologies in network-enabled fields. The advancement of AI/ML has led to new opportunities for efficient tactical communication and network systems, but also new vulnerabilities. Along this direction, innovative AI-driven solutions, such as game-theoretic frameworks and zero-trust architectures are developed to strengthen defenses against sophisticated cyber threats. Adversarial training methods are adopted to augment this security further. Simultaneously, deep learning techniques are emerging as effective tools for securing wireless communications and improving intrusion detection systems. Additionally, distributed machine learning, exemplified by federated learning, is revolutionizing security model training. Moreover, the integration of AI into network security, especially in cyber-physical systems, demands careful consideration to ensure it aligns with the dynamics of these systems. This book is valuable for academics, researchers, and students in AI/ML, network security, and related fields. It serves as a resource for those in computer networks, AI, ML, and data science, and can be used as a reference or secondary textbook.
Network Simulation and Evaluation
This book constitutes the refereed proceedings of the Second International Conference on Network Simulation and Evaluation, NSE 2023, held in Shenzhen, China in November 2023. The 52 full papers presented in this two volume set were carefully reviewed and selected from 72 submissions. The papers are organized in the following topical sections: CCIS 2063: Cybersecurity Attack and Defense, Cybersecurity Future Trends, Cybersecurity Infrastructure, Cybersecurity Systems and Applications. CCIS 2064: Cybersecurity Threat Research, Design and Cybersecurity for IoT Systems, Intelligent Cyber Attack and Defense, Secure IoT Networks and Blockchain-Enabled Solutions, Test and Evaluation for Cybersecurity, Threat Detection and Defense.