1st Edition

Leveraging Artificial Intelligence (AI) Competencies for Next-Generation Cybersecurity Solutions

Edited By Pethuru Raj, B. Sundaravadivazhagan, V. Kavitha Copyright 2024
    580 Pages 11 Color & 185 B/W Illustrations
    by Apple Academic Press

    Modern enterprises are facing growing cybersecurity issues due to the massive volume of security-related data they generate over time. AI systems can be developed to resolve a range of these issues with comparative ease. This new book describes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help eliminate them.

    With 21 comprehensive peer-reviewed chapters from industry and security experts, this volume details the rising competency of AI in detecting new cybersecurity threats. It discusses how AI can contribute in attack prediction and in formulation of workable and winnable prescription strategies in response to these attacks. The book conceptualizes how AI can battle bots that pose a serious threat to both personal and organizational cybersecurity. It also details other security uses of AI, including facilitating cyber resilience, guaranteeing endpoint protection, etc.

    The authors highlight many new and emerging AI technologies and approaches that can be harnessed to combat cyberattacks, including big data analytics techniques, deep neural networks, cloud computer networks, convolutional neural networks, IoT edge devices, machine learning approaches, deep learning, blockchain technology, convolutional neural networks, and others.

    Some unique features of this book include:

    • Detailed overview of various security analytics techniques and tools
    • Comprehensive descriptions of the emerging and evolving aspects of artificial intelligence (AI) technologies
    • Industry case studies for practical comprehension and application

    This book, Leveraging the Artificial Intelligence Competencies for Next-Generation Cybersecurity Solutions, illustrates how AI is a futuristic and flexible technology that can be effectively used for tackling the growing menace of cybercriminals. It clearly demystifies the unique contributions of AI algorithms, models, frameworks, and libraries in nullifying the cyberattacks. The volume will be a valuable resource for research students, scholars, academic professors, business executives, security architects, and consultants in the IT industry.

    1. Network Security Risks and Solutions Through Automated Toolkits in Underwater Sensor Networks: Survey

    Jocil D. and Vadivel R.

    2. IoT Security: Challenges, Best Practices, and Service Platforms

    Jayarani Thomas and Robin Cyriac

    3. A Fundamental Overview in Cybersecurity: Prevention and Mitigation of Cyberattacks for Securing Cyberspace

    Mayukha S. and Vadivel R.

    4. A Review of Big Data Analytics Techniques to Collar Cybersecurity Concerns

    Geethanjali S. and Sasikala S.

    5. Deep Neural Networks for Automated Cyber Security: Identification of Dynamic Malware in Cloud Computer Networks

    P. S. Vijayalakshmi and M. Jayakumar

    6. Artificial Intelligence Models for Cyber Security

    Swathika R. and Geetha K.

    7. Demystifying Digital Transformation Technologies and Tools

    B. Sundaravadivazhagan, V. Kavitha, and A. Dhanu Saswanth

    8. Big Data Analytics in Cyber Threats and Artificial Intelligence

    V. Kavitha, B. Sundaravadivazhagan, and K. Gowri

    9. Cyber Security-Based Solutions for IoT Edge Devices: Critical Issues and Services

    M. R. Sundarakumar

    10. A Structural Framework for Modeling Multi-Stage Network Attacks

    S. Suganyadevi and B. Mahalakshmi

    11. Artificial Intelligence Techniques for Malicious Domain Detection in Cyberspace

    Saleem Raja A., Sundaravadivazhagan B., Pradeepa G., Justin R., and Vinodini R.

    12. Malicious Domains Detection Based on Machine Learning Techniques

    D. Sasirekha, Hannah Vijaykumar, A. Parameswari, and K. Maheswari

    13. Use of Artificial Intelligence and the Thread Detection Method in Cyber Security

    S. Karthiyayini, Karthikeyan, and B. Aysha Banu

    14. The Impact of AI on Cybersecurity in Sustainable Universal Health Care: Current Developments, Issues, and Future Prospects

    A. Kalaivani and M. Jaithoon Bibi

    15. Delineating the Critical Cloud Infrastructure, Applications, and Data for Business Agility and Reliability

    M. Renuka Devi, V. Sindhu, and S. Gavaskar

    16. Machine Learning Approaches for Dynamic Cyber Security

    M. Kundalakesi and M. Renuka Devi

    17. Cyber Security in Deep Learning: Challenges and Applications

    M. Jaithoon Bibi and V. Krishnapriya

    18. Revolution of Digital Transformation Technology: Artificial Intelligence and Blockchain Technology in Cyber Security

    S. Srividhya, D. Sowmyadevi, and S. R. Lavanya

    19. A Survey of Deep Learning Algorithms and Methods for Automated Cyber Security in Healthcare

    M. Praneesh and Nivetha N.

    20. An Intrusion Detection System Using the NSL-KDD Dataset‘s Convolutional Neural Network and Data Analytics

    D. Kalaivani

    21. Cyber Security Through Big Data Analytics

    S. Leelalakshmi, K. Tamil Selvi, and T. Bhuvaneswari


    Pethuru Raj, PhD, is currently working as a Chief Architect and Vice President at Reliance Jio Platforms Ltd., Bangalore, India. Previously, he worked at the IBM Global Cloud Center of Excellence, Wipro Consulting Services, and Robert Bosch Corporate Research. He has more than 20 years of IT industry experience and eight years of research experience. He had a number of international research fellowships (JSPS and JST) as a research scientist at two leading Japanese universities. His main area of focus is emerging technologies such as the Internet of Things, optimization of artificial intelligence models, streaming analytics, blockchain, digital twins, cloud-native computing, edge and serverless computing, reliability engineering, microservices architecture, quantum computing, event-driven architecture, 5G/6G, etc. He finished his CSIR-sponsored PhD degree at Anna University, Chennai, and received a UGC-sponsored postdoctoral research degree in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bangalore.

    B. Sundaravadivazhagan, PhD, is currently working on the Faculty of the Department of Information Technology at the University of Technology and Applied Science, Al Mussanah, Oman. He has professional memberships in ISACA and ISTE and is a senior member of IEEE. His academic and research background spans more than 21 years at a number of institutions. He is working on two financed research projects for the Ministry of Higher Education Research Innovation in Oman. His research interests include Internet of Things, artificial intelligence, machine learning, deep learning, cloud computing, and cybersecurity. He has published more than 30 technical articles in international journals. He earned his PhD in Computer Science from Anna University, Chennai, India.

    V. Kavitha, PhD, is currently working as an Assistant Professor in the Department of Computer Science with Cognitive Systems, Sri Ramakrishna College of Arts and Science, Coimbatore, Tamil Nadu, India. She has over 19 years of teaching and research experience. She has been supervising research scholars and postgraduate and undergraduate students in the areas of cybersecurity. She has published more than 75 research papers in international as well as national journals, international conferences, and book chapters. She has delivered technical talks in the areas of big data analysis and cybersecurity. Cybersecurity, IoT security, artificial intelligence, machine learning, and deep learning are some of her research interests. She was awarded her PhD in the broad area of Data Mining.