Video security against deepfakes and other forgeries

Lastika SethiMukesh Patel School of Technology, Management and Engineering, NMIMS University, Mumbai400056, Marashtra, India, E-mails: [email protected], [email protected], [email protected]

Anay DaveMukesh Patel School of Technology, Management and Engineering, NMIMS University, Mumbai400056, Marashtra, India, E-mails: [email protected], [email protected], [email protected]Correspondence[email protected]

Raj BhagwaniMukesh Patel School of Technology, Management and Engineering, NMIMS University, Mumbai400056, Marashtra, India, E-mails: [email protected], [email protected], [email protected]

Ameyaa BiwalkarMukesh Patel School of Technology, Management and Engineering, NMIMS University, Mumbai400056, Marashtra, India, E-mails: [email protected], [email protected], [email protected]

Abstract

This paper describes a system of steps which aims at proving the ownership of video content, detecting tampered original videos and distinguishing between authentic and counterfeit videos. This system achieves its purpose by using the interdisciplinary technologies of image processing namely face detection, recognition and semi fragile watermarking along with data security algorithm of AES encryption. Our paper aims at optimizing each step in this system to reduce the overall computational count.

Subject Classification:

65D99

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Video security against deepfakes and other forgeries

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Video security against deepfakes and other forgeries

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