Securing AI-Generated Media With Blockchain Technologies

As AI-generated media becomes prevalent across industries, concerns about authenticity, ownership, and misuse grow. Blockchain technologies offer solutions by providing transparent, tamper-proof records that verify the origin of digital content. By combining the traceability of blockchain with the power of AI, organizations can enhance trust, prevent misinformation, and establish clear credit for AI-generated works. This intersection of technologies can secure digital media in an era marked by complex synthetic content. Further exploration may reveal new areas of content that require additional security measures and technological development. Securing AI-Generated Media With Blockchain Technologies explores how blockchain technologies can be used to verify, secure, and manage AI-generated media. It examines the challenges of digital authenticity, intellectual property rights, and content manipulation, and how blockchain addresses these issues through decentralized, transparent records. This book covers topics such as cybersecurity, deepfakes, and social engineering, and is a useful resource for computer engineers, media and communications professionals, security workers, academicians, researchers, and scientists.

Dr G Revathy is working in SASTRA Deemed University. She has 15 years of teaching experience. She has published around 30 international journals and authored 10 books

Arul Kumar Natarajan currently serves as an Assistant Professor in the Department of Computer Science at the Samarkand International University of Technology in Uzbekistan. He earned his Doctor of Philosophy degree in Computer Science from Bharathidasan University, India, in 2017. Concurrently, he is engaged in postdoctoral research in Generative AI for Cybersecurity at the Singapore Institute of Technology, Singapore. Throughout his 14-year teaching career, Dr. Arul has held esteemed positions at various institutions, including Christ University, Bishop Heber College in India, and Debre Berhan University in Ethiopia. Dr. Arul has made significant contributions to academia, specializing in cybersecurity and artificial intelligence, as evidenced by his portfolio of scholarly works. He has authored 50 peer-reviewed and internationally indexed publications and delivered 35 conference presentations. Additionally, he has edited and published 04 books with IGI Global, USA, which are indexed in Scopus and focus on Artificial Intelligence and Cybersecurity. He also has 04 more books in the processing stage with IGI Global, Wiley, and Springer. In addition to his academic pursuits, Dr. Arul is a prolific innovator. He has 17 patents granted in India and 1 granted in the United Kingdom, spanning diverse fields such as communication and computer science. His latest work involves 1 copyrighted research (Govt. of India) in Artificial Intelligence and Machine Learning, specifically focused on segmenting, classifying, and tracking issue nuclei in images. Dr. Arul also exhibits notable proficiency in networking and cybersecurity, having completed the CCNA Routing and Switching Exam from CISCO and the Networking Fundamentals exam from Microsoft. He continues to demonstrate a strong interest in Generative AI for Cybersecurity.