Internet of Multimedia Things Security : Tools and Applications

The proliferation of IoT devices and the exponential growth of multimedia brings opportunities and challenges. IoMT has uses in a variety of fields, including healthcare, education, agriculture, communication and entertainment, but IoMT networks are susceptible to security issues that must be addressed. Internet of Multimedia Things Security: Tools and Applications introduces the principles behind the IoMT by exploring three converging three domains: Internet of Things, Data Security, and Multimedia. It covers vulnerabilities such as cyber-attacks, unauthorized access, data breaches, and privacy preservation, and provides case studies to assist research students and engineers in securely incorporate multimedia into their applications.

• Offers a comprehensive understanding of the foundational principles of the Internet of Multimedia Things and its practical applications in IoT
• Provides practical applications and case studies in the application of IoMT security
• Discusses the ethical implications in IoMT engineering
• Investigates the possibilities and challenges of utilising emerging technologies, such as federated learning, explainable AI and Adversarial, in IoMT security

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. Vinayakumar Ravi is an Assistant Research Professor at the Center for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. Dr. Ravi has been a Postdoctoral Research Fellow developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, USA. He received his Ph.D. in Computer Science from Amrita School of Engineering, Coimbatore, India. His current research interests include applications of data mining, Artificial Intelligence, machine learning and, deep learning for biomedical informatics, cyber security, image processing, and natural language processing. Dr. Ravi is editor of Efficient Data Handling for Massive Internet of Medical Things: Healthcare Data Analytics, Springer. Dr. Ravi is an editorial board member for Journal of the Institute of Electronics and Computer (JIEC), International Journal of Digital Crime and Forensics (IJDCF), and he has organized a shared task force on detecting malicious domain names (DMD 2018) as part of SSCC'18 and ICACCI'18.

Dr. Shreyas J received the B.E degree in M.Tech degree from Visvesvaraya Technological University. He has received full time Ph.D. degree from Bangalore University in 2021. All the three degrees are in Computer Science and Engineering discipline. He has completed Ph.D. in the area of Internet of Things and Artificial Intelligence in the Department of Computer Science and Engineering, University Visvesvaraya College of Engineering (UVCE, IIT Model College), Bangalore University, Bangalore. He is currently working as Assistant Professor, Dept. of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India. Dr. Shreyas J is involved in research, and teaching B.E and M.Tech student of Computer Science and Engineering and he has more than 8 years of Research, Academia and Industrial experience. He has published more than 50 papers in International Journals including Elsevier, Springer, Inderscience and International Conferences which are indexed by SCI and Scopus. He has received two best paper awards in Hong Kong and Dubai each during International Conferences. He has worked as a reviewer for various reputed journals including Nature, IEEE, Elsevier, Springer, Johnny Wiley, etc publishers and international conferences. He also served as Guest Editor, Editorial Member, Session Chair, Technical committee member etc. for various journals and conferences. He has delivered many Keynote/Invited Talks at international conferences and chaired technical sessions worldwide. Dr. Shreyas J is a valued member of professional bodies like ACM, IEEE, ISTE, and IAENG, contributing to the academic community in various capacities. He has filed, published and registered various patents. His current research lies in the area of Sensor Networks, Artificial Intelligence of Things, Swarm Intelligence and Machine Learning.

Dr. Preethi, received a bachelor’s degree in computer science and engineering from VTU, Karnataka in 2008, a master’s degree in computer science and engineering from VTU, Karnataka 2013, and a philosophy of doctorate degree in Computer Science and Engineering from Presidency University, Bangalore in 2022, respectively. She has had total of 15 years of Teaching experience. She is currently working as an Assistant Professor-Senior Scale, at Manipal Institute of Technology, Bengaluru, Manipal Academy of Higher Education, Manipal, India. Her research areas include the Internet of Things, Computer Architecture, and cryptography. She has many papers to her credit in reputed international journals, national journals, and conferences. She has been serving as a reviewer for highly respected journals.