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

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 chapters from industry and security experts, this volume discribes the various types of cybersecurity problems faced by businesses and how advanced AI algorithms and models can help elimintate them. With chapters from industry and security experts, this volume discusses the 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 more.

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.

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.