Advanced Investigation Strategies for IoT Forensics

Advanced Investigation Strategies for IoT Forensics: Technical Approaches to Encrypting, Security, and Investigation Strategies in IoT Forensics is an edited book that explores the crossroads of digital forensics and the Internet of Things. The book offers a one-stop solution to understanding forensic mechanisms, security weaknesses, and privacy issues in IoT ecosystems. Spanning core theories, applied case studies, and new approaches―such as AI, blockchain, and memory forensics―the book is an essential handbook for researchers, practitioners, and students. From the international subject matter expert community, it presents a visionary summary of the future trends and ethical issues in IoT forensic analysis.

Features:

• Examines forensic investigation techniques focused on IoT devices and IoT systems
• Examines identification, data gathering, preservation, and evidence analysis tools and techniques in IoT systems
• Examines encryption algorithms, covert channel discovery, and privacy-preserving mechanisms
• Addresses the ethical, legal, and compliance perspective of IoT forensics from a worldwide viewpoint
• Emphasizes trends such as AI, blockchain adoption, and edge computing, introducing a model for the development of forensic procedures

The book is especially useful for academic researchers, undergraduate students, postgraduate students, and industry researchers and professionals.

Dr. Shreyas J holds B.E., M. Tech, and Ph.D. degrees in Computer Science and Engineering from Visvesvaraya Technological University and Bangalore University. He earned his doctorate in 2021 from UVCE, Bangalore University, specializing in Artificial Intelligence of Things, supported by a National Doctoral Fellowship. Currently, he serves as Assistant Professor in the Department of Information Technology at Manipal Institute of Technology, MAHE, Bengaluru. With over 9 years of combined academic, research, and industry experience, he has published 100+ papers in top-tier journals and conferences indexed in SCI and Scopus. Dr. Shreyas has received Best Paper Awards in international conferences held in Hong Kong, Dubai, and NIT Delhi. He has authored a Springer book, edited volumes with Elsevier and Taylor & Francis, and filed multiple patents and copyrights. He is a reviewer for prestigious journals including Nature, IEEE, and Elsevier, and serves on editorial and technical committees globally. Currently guiding three research scholars at MAHE, he has received an IBM research grant worth ₹8.5 lakhs and collaborates with global universities like USC, MSU, and King Saud University. His research interests include AIoT, sensor networks, swarm intelligence, and AI in agriculture. He is an active member of ACM, IEEE, ISTE, and IAENG. Dr. Shreyas J - Google Scholar

Keshav Kaushik, an accomplished academician and expert in cybersecurity and digital forensics, serves as an Associate Professor in the Department of Computer Science & Engineering, Sharda School of Engineering & Technology, Sharda University, Greater Noida, India. As a key member of the Cybersecurity Centre of Excellence and Vice Chairperson of the Meerut ACM Professional Chapter, he has significantly advanced the field through his teaching, research, and leadership. Recognized among the world’s top 2% scientists by Stanford University and Elsevier in 2024, his scholarly portfolio includes over 150 publications, with 25 in SCI/SCIE/Scopus- indexed journals and 50+ in Scopus-indexed conferences. He has authored 40 books, contributed 25 book chapters, and holds one granted patent, six published patents, and five copyrights. Keshav is a Certified Ethical Hacker (CEH v11), ISO/IEC 27001 Lead Auditor, and IBM Cybersecurity Analyst. A Bentham Ambassador and Guest Editor for IEEE Journal of Biomedical and Health Informatics, he has delivered 50+ talks globally and earned accolades, including recognition from ISRO, AICTE, and Uttarakhand Police. A two-time GATE qualifier, he has a rich academic and professional trajectory marked by impactful mentorship and innovative research.

Keshav Kaushik - Google Scholar

Dr. Gururaj H L (Senior Member, IEEE) received a Ph.D. degree in computer science and engineering from Visvesvaraya Technological University India in 2019. He has published more than 200 research articles in peer-reviewed and reputed international journals. He has authored 15 Edited books in Springer, IET, IGI Global and Taylor & Francis. He has presented more than 70 papers at various international conferences. He is a Senior Member of ACM. He received a Young Scientist International Travel Support ITS-SERB, Department of Science and Technology, Government of India, in December 2016. He was a recipient of best paper awards at various national and international conferences. He was appointed as an ACM Distinguish Speaker (2018–2021) by the ACM U.S. Council. He has honoured as Keynote Speaker, Session chair, TPC member, Advisory committee member at International Seminars, Workshops and Conferences across Globe. Prof. Gururaj’s research interests are Applications in Machine and federated Learning, data mining, Blockchain and cyber security.

Dr. Gururaj H L - Google Scholar

Tanupriya Choudhury (Senior Member, IEEE) received the bachelor’s degree in computer science and engineering from West Bengal University of Technology, Kolkata, India, in 2008, the master’s degree in computer science and engineering from Dr. M.G.R University, Chennai, India, in 2010, and the Ph.D. degree from Jagannath University, Jaipur, in 2016. With 15 years of experience in teaching and research, he holds the position of a Visiting Professor with Daffodil International University, Bangladesh. Currently, he is a Professor with UPES, Dehradun, India. Before this role, he was with Symbiosis International Deemed University, Pune, and Graphic Era Hill University, Dehradun, as a Research Professor; Amity University Noida as an Assistant Professor (Grade 3) and the International Department Head; and other prestigious academic institutions, such as the Dronacharya College of Engineering, Gurgaon, Lingaya’s University, Faridabad, Babu Banarsi Das Institute of Technology, Ghaziabad, and Syscon Solutions Pvt. Ltd., Kolkata). His areas of expertise encompass human computing, soft computing, cloud computing, and data mining. Notably accomplished within his field thus far is filing 25 patents and securing copyrights for 16 software programs from the Ministry of Human Resource Development (MHRD). He has actively participated as an attendee or speaker at several national and international conferences across India and abroad. He holds lifetime membership with the International Engineering and Technology Association (IETA), the Institute of Electrical and Electronics Engineers (IEEE), the Institution of Engineering and Technology, U.K. [IET (U.K.)], and other reputable technical societies. Additionally, he is associated with corporate entities and serves as a Technical Adviser for Deetya Soft Pvt. Ltd., Noida, IVRGURU, and Mydigital360. He serves as the Honorary Secretary for Indian Engineering Teacher’s Association (IETA), India, alongside his role as the Senior Advisor Position in Indo-U.K. Confederation of Science, Technology and Research Ltd., London, U.K., and International Association of Professional and a fellow of Engineers-Delaware-USA.

Dr. Tanupriya Choudhury - Google Scholar

Udayaprasad P. K. received the B.E. degree from Visvesvaraya Technological University, in 2018, and the M.Tech. degree from the Department of Computer Science and Engineering, University Visvesvaraya College of Engineering (UVCE, IIT Model College), Bangalore University, Bengaluru, in 2021. He is currently an Assistant Professor with the Department of Computer Science and Business Systems, BMS Institute of Technology and Management, Yelahanka, Bengaluru, India. He is involved in research, and teaching B.E. and M. Tech. students of computer science and engineering and he has more than 4 years of research, academia, and industrial experience. He has published more than 15 papers in international journals, including Elsevier, Springer, and Inderscience, and international conferences. He has worked as a reviewer for various reputed journals including Nature, IEEE, Springer, Johnny Wiley, etc publishers and international conferences. His current research interests include the Internet of Things, machine learning, artificial intelligence, sensor networks, and image processing.

Udayaprasad P K - Google Scholar