Data Science and Security (eBook)

This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2023), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, from 02-04 November, 2023. The proceeding targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.

Samiksha Shukla is currently employed as an Associate Professor at the Department of Computer Science and Engineering, Christ(Deemed to be University), Bangalore. Her research interests include computational security, artificial intelligence, machine learning, data science, and big data. She is a certified AWS Educator. She has presented and published several research papers in reputed journals and conferences. She has co-edited Data Science and Security books (Springer, 2020, 2021 & 2022) and also co-authored Springer Brief on Data Ethics and Challenges and Data Economy in the Digital Age. She has 18 years of academic and research experience. She is a reviewer for the Inderscience Journal, Springer Nature's International Journal of Systems Assurance Engineering and Management (IJSA), and IEEE and ACM conferences. Dr. Shukla is an experienced and focused teacher committed to promoting students' education and well-being. She is passionate about innovation and good practices in teaching. She has constantly engaged in continuous learning to broaden her knowledge and experience. Her core expertise lies in Computational Security, Artificial Intelligence, and Healthcare-related projects. She is skilled at adopting a pragmatic approach to improvising solutions and resolving complex research problems. Dr. Shukla possesses an integrated set of competencies encompassing teaching, Mentoring, Strategic Management, and establishing a Centre of Excellence via Industry tie-ups. She has a track record of driving unprecedented research and development projects with international collaboration and has been instrumental in organizing various National and International Events.

 

Hiroki Sayama is a Professor in the Department of Systems Science and Industrial Engineering and Director of the Center for Collective Dynamics of Complex Systems (CoCo) at Binghamton University, State University of New York, USA. He also serves as a Non-tenured Professor in the School of Commerce at Waseda University, Japan, as well as an External Faculty Member of the Vermont Complex Systems Center at the University of Vermont. He received his B.Sc., M.Sc., and D.Sc. in Information Science, all from the University of Tokyo, Japan. He did his postdoctoral work at the New England Complex Systems Institute in Cambridge, Massachusetts. His research interests include complex dynamical networks, human and social dynamics, collective behaviors, artificial life/chemistry, interactive systems, and complex systems education, among others. He is an Expert in mathematical/computational modeling and analysis of various complex systems. He has published more than 200 peer-reviewed journal articles and conference proceedings papers and has written or edited 14 books and conference proceedings about complex systems-related topics. His open-access textbook on complex systems modeling and analysis has been downloaded more than 68,000 times globally and has become one of the standard textbooks on this subject. He currently serves as Elected Council and Executive Committee Member of the Complex Systems Society (CSS), Board member of the Network Science Society (NetSci) and the International Society for Artificial Life (ISAL), Chief Editor of Complexity (Wiley/Hindawi), Associate Editor of Artificial Life (MIT Press), and as Editorial Board Member for several other journals.

 

Joseph Varghese Kureethara is a Professor of Mathematics at Christ University. He was the Director of the Centre for Research there. He has over seventeen years of experience in teaching and research at Christ University, Bengaluru. He has published around 230 articles in Graph Theory, Number Theory, History, Religious Studies, and Sports, both in English and Malayalam. Dr. Kureethara co-edited five books and authored six books. His blog articles, comments, facts, and poems have earned about 170 thousand pageviews. He has delivered invited talks at over fifty conferences and workshops. He is a Member of the Editorial Board and Reviewer of several journals. He has worked as a member of several institutions' boards of studies, boards of examiners, and management committees. He has supervised 8 Ph.Ds., 12 M.Phils., and supervising 8 Ph.Ds.

 

Durgesh Kumar Mishra has received an M.Tech. degree in Computer Science from DAVV, Indore, in 1994 and Ph.D. in Computer Engineering in 2008. Presently, he is working as a Professor (CSE) and Director of the School of Computer Science and Information Technology, Symbiosis University of Applied Science, Indore, MP, India. He has around three decades of teaching experience and 18 years of research experience. His research topics are Secure Multi-party Computation, Image Processing, and Cryptography. He has published around 100 papers in refereed international/national journals and conferences, including IEEE and ACM. He isa Senior Member of IEEE, the Computer Society of India, and ACM. He has played a very important role in professional society as Chairman. He has been a Consultant to industries and government organizations like the Sales Tax and Labor Department of the Government of Madhya Pradesh, India.

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This book presents best-selected papers presented at the International Conference on Data Science for Computational Security (IDSCS 2023), organized by the Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus, India, from 02-04 November, 2023. The proceeding targets the current research works in the areas of data science, data security, data analytics, artificial intelligence, machine learning, computer vision, algorithms design, computer networking, data mining, big data, text mining, knowledge representation, soft computing, and cloud computing.