Advanced Investigation Strategies for IoT Forensics
CRC Press (Verlag)
9781032823546 (ISBN)
- Noch nicht erschienen (ca. Juni 2026)
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
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.
Applies forensic case scenarios in healthcare, smart cities, and industrial control systems from real-world situations.
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 the 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
Introduction to IoT Forensics. 2. Foundation of IoT Forensics. 3. Security Challenges in Large-Scale IoT Systems. 4. Tracing Devices and Privacy Concerns. 5. IoT Forensics: Opportunities and Challenges. 6. Innovative Approaches and Techniques in Digital Forensics. 7. Navigating the Legal and Ethical Maze: IoT Forensics. 8. Best Practices in IoT Forensics: Strategies and Techniques. 9. Forensics Analysis of IoT Network Traffic. 10. IoT Device Memory Forensics. 11. Advanced Investigation Strategic for Biometric Data Forensics in IoT. 12. Blockchain Technology in IoT Forensics. 13. AI and Machine Learning in IoT Forensics. 14. Cybersecurity Resilience in IoT Forensics. 15. Future Trends in IoT Forensics: Challenges, Opportunities, and Research Directions.
| Erscheint lt. Verlag | 4.6.2026 |
|---|---|
| Zusatzinfo | 58 Tables, black and white; 112 Line drawings, black and white; 3 Halftones, black and white; 115 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Gewicht | 453 g |
| Themenwelt | Informatik ► Netzwerke ► Sicherheit / Firewall |
| Recht / Steuern ► Strafrecht ► Kriminologie | |
| ISBN-13 | 9781032823546 / 9781032823546 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
