Video Authentication: Issues and Challenges
Video authentication aims to ensure the trustworthiness of the video by verifying the integrity and source of video data. It has gained much attention in the recent years. In this paper we present the issues in the designing of a video authentication system. These issues include the classification of tampering attacks, levels of tampering attack and robustness. Further we present the categorization of existing video authentication techniques with their shortcomings. Moreover we have also given the challenging scenarios in which the video authentication would be a critical task.
Keywords: Video Authentication, Fragile Watermarking, Digital Signature, Intelligent Techniques, Tampering Attacks
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ABOUT THE AUTHORS
Saurabh Upadhyay
Saurabh Upadhyay received the B. Tech. degree in computer science and engineering in 2001 and is currently working toward the Ph.D. degree in computer science at U.P. Technical University, India. He is an Associate Professor in the Department of Computer Science and Engineering, Saffrony Institute of Technology Gujarat, India. He is actively involved in the development of a robust video authentication system which can identify tampering to determine the authenticity of the video. His current areas of interest include pattern recognition, video and image processing, watermarking, and artificial intelligence
Sanjay Kumar Singh
Sanjay K. Singh is Associate Professor in Department of Computer Engineering at Institute of Technology, BHU, India. He is a certified Novel Engineer and Novel administrator. His research has been funded by UGC and AICTE. He has over 50 publications in refereed journals, book chapters, and conferences. His research interests include computational intelligence, biometrics, video authentication and machine learning. Dr. Singh is a member of IEEE, ISTE and CSI.
Saurabh Upadhyay
Saurabh Upadhyay received the B. Tech. degree in computer science and engineering in 2001 and is currently working toward the Ph.D. degree in computer science at U.P. Technical University, India. He is an Associate Professor in the Department of Computer Science and Engineering, Saffrony Institute of Technology Gujarat, India. He is actively involved in the development of a robust video authentication system which can identify tampering to determine the authenticity of the video. His current areas of interest include pattern recognition, video and image processing, watermarking, and artificial intelligence
Sanjay Kumar Singh
Sanjay K. Singh is Associate Professor in Department of Computer Engineering at Institute of Technology, BHU, India. He is a certified Novel Engineer and Novel administrator. His research has been funded by UGC and AICTE. He has over 50 publications in refereed journals, book chapters, and conferences. His research interests include computational intelligence, biometrics, video authentication and machine learning. Dr. Singh is a member of IEEE, ISTE and CSI.
