This book proposes to provide a comprehensive view of the issues, threats, and challenges that are faced in the cyber security domain with a detailed analysis of effective countermeasures and mitigations. It is primarily aimed at undergraduate students, graduate students, researchers, academicians, and professionals working in the area.
Dr. Narendra M. Shekokar received his PhD in Engineering (Network Security) from NMIMS Deemed to be University, Mumbai, India. He is a Professor in the Dept. of Computer Engineering at SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai (autonomous college affiliated with the University of Mumbai). He was a member of the Board of Studies at the University of Mumbai for more than five years, and he has also been a member of various committees at the University of Mumbai. His total teaching experience is 24 years. Dr. Shekokar is PhD adviser for eight research fellows and more than 26 students at the postgraduate level. He has published four patents, presented more than 70 papers at international and national conferences, and has also published more than 20 research papers in renowned journals and 12 book chapters with Taylor & Francis and with Springer. He has published one book titled "Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques" with CRC Press, Taylor & Francis Series. He has received a minor research grant twice from the University of Mumbai for his research projects. He has delivered expert talks and chaired sessions at numerous events and conferences.
Dr. Hari Vasudevan is Principal of SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai, India, an autonomous institution affiliated to the University of Mumbai. He has been working as principal of the college since February 2009. He has a PhD from IIT Bombay and a Master of Engineering degree as well as a Postgraduate Diploma in Industrial Engineering from VJTI, University of Mumbai. Dr. Hari is a certifi ed ERP consultant from S.P. Jain Institute of Management & Research, Mumbai, under the University Synergy Programme of BaaN Institute, Amsterdam, Netherlands. He is a member of the Research & Recognition Committee (RRC) of the University of Mumbai in mechanical engineering as the internal expert of the university. He is also the chairman of the Board of Studies in Production Engineering of the University of Mumbai. He has over 29 years of experience in teaching and 2 years of experience in industry, and his areas of interest include digital manufacturing, cyber security in manufacturing and manufacturing strategy. He has published over 132 research papers in international journals and conferences, as well as in national journals and conferences. He has also published textbooks, textbook chapters, workbooks, and articles in various newsletters. He is a recognized PhD adviser at the University of Mumbai as well as at NMIMS Deemed to be University in the fi eld of mechanical engineering. Eight students have so far received their PhD degrees under his guidance. He is currently advising fi ve more PhD students under the DJSCE Research Centre of University of Mumbai. He has six Indian design registrations and two process patents to his credit and has received many awards and accolades from various national level organizations. Dr. Hari Vasudevan is a fellow of the Institution of Engineers, India and is currently president and fellow of the Indian Society of Manufacturing Engineers, Mumbai.
Dr. Surya Durbha received his PhD in Computer Engineering from Mississippi State University, Starkville. He is Professor in the Centre of Studies in Resources Engineering (CSRE), Indian Institute of Technology Bombay (IIT-Bombay). He has more than 20 years of experience. He has won a number of awards, including the award for best paper at an international conference on geoinformatics, an Outstanding Research Award (HM) (2008) from GRI, Mississippi State University, a State Pride Faculty Award (2010) from Mississippi State University, an Excellence in Teaching award from IIT Bombay, and an NVIDIA Innovation award from NVIDIA. He is a reviewer for many prestigious journals, including IEEE Geoscience and Remote Sensing , IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, and Geoinformatica , among others. He has advised more than six PhD and 24 M.Tech. students. He also has many research paper publications in prestigious journals and from conferences.
Dr. Antonis Michalas received his PhD in Provable Security and Privacy from Aalborg University, Denmark, and currently he is an Associate Professor in the Department of Computing Science at Tampere University of Technology, Faculty of Computing and Electrical Engineering, Tampere, Finland. Prior to this, he was an Assistant Professor in Cyber Security at the University of Westminster, London. Earlier, he conducted his postdoctoral researchat the Security Lab at the Swedish Institute of Computer Science in Stockholm, Sweden where he was actively involved in national and European research projects. Dr. Antonis has published a signifi cant number of papers in fi eld-related journals and conferences and has also participated as a speaker at various conferences and workshops. His research interests include applied cryptography, privacy-preserving protocols in widely deployed communication networks, analysis of encrypted data and privacy-preserving machine learning, forensics, cloud security and trusted computing.
Dr. Tatwadarshi P. Nagarhalli is Associate Professor in Vidyavardhini's College of Engineering and Technology, Vasai, Mumbai, India. He has two PhDs, one in Computer Engineering and the other in Sanskrit. He has more than 10 years of experience, including two years of industry experience. His areas of interest include data security, machine learning, deep learning, natural language processing, and artificial intelligence. He has served as a panel member for Syllabus Design of Machine Learning, deep learning and Artifi cial Intelligence at the University of Mumbai. He has presented and published more than 50 research papers in reputed journals (SCI and Scopus Indexed) and conferences. He has also authored many book chapters with reputed publishers. He received the award for best paper for a data security paper at an International IEEE conference. He has a patent published on data security to his credit. He has soft ware and literary copyrights to his credit as well. He is the founder and editor-in-chief of a nonprofi t international journal indexed in reputed databases. He is also an active reviewer of reputed Scopus-Indexed journals like the IEEE Access and Journal of King Saud University - Computer and Information Science . He has undertaken many workshops and training programs at the undergraduate and postgraduate levels for industry and academia.
Dr. Ramchandra Mangrulkar was a postgraduate at the National Institute of Technology, Rourkela, India, aft er he received his PhD in Computer Science and Engineering from SGB Amravati University, Amravati, India, in 2016. At present, he is Associate Professor in the Department of Computer Engineering at SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai (autonomous college affiliated with the University of Mumbai), Maharashtra, India. Dr. Ramchandra Mangrulkar has published 51 papers and 25 book chapters with Taylor & Francis, Springer, and IGI Global in his field of interest. He has presented 54 papers at national and international conferences. He has also edited three books titled "Design of Intelligent Applications using Machine Learning and Deep Learning Techniques (2022)," "Future Trends in 5G and 6G: Challenges, Architecture, and Applications (2022)," and "Data Science Techniques and Intelligent Applications (2023)" with CRC Press, Taylor & Francis Series. He has also worked as reviewer for many international journals and has reviewed many book proposals submitted to publishers of international reputation. He has also chaired many sessions at national and international conferences. He has shown keen interest in conducting and organizing workshops on artifi cial intelligence bot in education, Network Simulator 2, innovative tools for research, and LaTeX and Overleaf. He has also received a certifi cation of appreciation from the DIG Special Crime Branch Pune and Superintendent of Police and wide publicity from the broadcast media for his project work on the subject "Face Recognition System." He is also working as an internal thesis adviser at NMIMS's MPSTE Mumbai and DY Patil's RAIT, Navi Mumbai. He has worked as an external referee for PhD thesis evaluations at SGB Amravati University and RTM Nagpur University. He is active member of the board of studies at various universities and an autonomous institute in India.
Dr. Monika Mangla received her PhD from Thapar Institute of Engineering & Technology, Patiala, Punjab, India, in 2019. Currently, she is Associate Professor in the Information Technology Department at SVKM's Dwarkadas J. Sanghvi College of Engineering, Mumbai (autonomous college affiliated with the University of Mumbai), Maharashtra, India. She has 20 years of teaching experience at the undergraduate and postgraduate levels to her credit. Her interest areas include the internet of things (IoT), cloud computing, algorithms and optimization, location modeling, and machine learning. She has guided many projects at the undergraduate and postgraduate levels. She has also been invited as an expert speaker for many workshops. She has published several research papers in journals and for reputed conferences (SCI and Scopus Indexed). She has also authored many book chapters with reputed publishers. She is the editor of several books on the topics of the internet of things, machine learning, and data analytics published by leading publishers. She has also been associated with several SCI-indexed journals like TUBITAK and IMDS as a reviewer. She has been associated with several reputed conferences as a session chair. She qualified for the UGC-NET for Computer Science in July 2018. She also has a patent and three copyrights to her credit. She is a life member of CSI and IETE.
