Cyber security is a key focus in the modern world as more private information is stored and saved online. In order to ensure vital information is protected from various cyber threats, it is essential to develop a thorough understanding of technologies that can address cyber security challenges. Artificial intelligence has been recognized as an important technology that can be employed successfully in the cyber security sector. Due to this, further study on the potential uses of artificial intelligence is required.

Methods, Implementation, and Application of Cyber Security Intelligence and Analytics discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Covering a range of topics such as malware, smart grid, data breachers, and machine learning, this major reference work is ideal for security analysts, cyber security specialists, data analysts, security professionals, computer scientists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence
Cyber Resilience
Cyber Security
Cyber-World
Data Breaches
Deep Learning
Knowledge Representation
Machine Learning
Malware
Network Intrusion Detection
Network Semantics
Neural Language Modeling
Smart Grid

Reviews & Statements

"Cyber security and its related attacks are increasing day by day with different kinds of attack types. The real attack datasets should be used in latest technologies namely Artificial Intelligence, Machine Learning, Deep Learning and Reinforcement Learning. The Feature selection and Engineering helps in getting interesting columns and values, but in case of cyber attacks with and without feature selection measures are to be considered."

– S Jawahar, School of Sciences, CHRIST, India

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Editor/Author Biographies

Jena Om Prakash is currently working as an Assistant Professor in the Department of Computer Science, Ravenshaw University, Cuttack, Odisha, India. He has 11 years of teaching and research experience in under graduate and post graduate level. He has published several technical papers in international journals/conferences/edited book chapters of reputed publications. He is a member of IEEE, ACM, IETA, IAAC, IRED, IAENG and WACAMLDS. His current research interest includes Database, Pattern Recognition, Cryptography, Network Security, Artificial Intelligence, Machine Learning, Soft Computing, Natural Language Processing, Data Science, Compiler Design, Data Analytics and Machine Automation. He has many edited books, published by Wiley, CRC press, Bentham, IEEE, IGI Global, DeGryuter Publication in to his credit and also author of two text book under Kalyani Publisher. He also serves as reviewer committee member, International Advisory Board Member, TPC member and editor of many international journals.

H. L. Gururaj is currently working as an Associate Professor in the Department of Computer Science and Engineering. He has 10 years of teaching and research experience. He is a professional member of ACM. Dr. Gururaj appointed as ACM Distinguish Speaker (2018-2021) by the ACM US council. He received YOUNG SCIENTIST AWARD from ITS-SERB, Department of Science & Technology, Government of India in December 2016. He worked as Special Editor of EAI publisher and Guest Editor of Multimedia Springer Journal. He is an Editorial Board member of various International Journals. He has published more than 75 research papers in various reputed conferences and journals. He worked as a reviewer for various journals and conferences. He also received the Best paper awards at various National and International Conferences. He has authored one Book on Network Simulators and one Edited Book on Blockchain by Springer Publishers. He has honored as Session Chair, Keynote Speaker, TPC member, Advisory committee member at National and International Seminars, Workshops, and Conferences across Globe. His research interests include BlockChain Technology and Cyber Security.

Pooja M. R. is currently working as Professor in the Department of Computer Science & Engineering. She has more than 40 research publications in peer reviewed international journals and international conferences. Her research interests include Machine Learning and Artificial Intelligence, Big Data Analytics and Health informatics. She has received appreciation for her multidisciplinary research with substantial contributions in the field of Health Informatics and Artificial Intelligence. She is nominated as Bentham Ambassador from INDIA in recognition of her research in Medical Informatics. She has been selected as Editorial Board Member for various peer reviewed international journals and also is a member of the Technical Program Committee of various international conferences. She has delivered talks as an invited speaker at various virtual international conferences including COPD-2021 ,CWC-2021, World Conference on Pediatrics and Neonatal Healthcare, Global Conference on Healthcare held in North Macedonia, Turkey, US and UK. She has been a resource person for AICTE sponsored Faculty Development Programmes on both Data Science and Cyber Security. She has been the Speaker on Data Science at Annual International Meet on Women in Data Science -2021.Shehas been a member of various international professional bodies and has been an invited resource person for AICTE sponsored Faculty Development programmes on AI and Machine Learning. She has attended various workshops organized by AICTE for implementation of Outcome Based Education and has been a resource person for the same.

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