An Agentic ENF Framework for Forensic Video Authentication Against Generative AI

Reported by arXiv cs.CR (Ryan Wyton (Southampton Solent University), Bacha Rehman (Southampton Solent University))

Summary by Cyber Security News19 Oct 2026, 06:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.22440

arXiv:2610.22440v1 Announce Type: new Abstract: Generative models now synthesise video that is hard to distinguish from genuine footage, and learned detectors that key on a generator's artefacts degrade sharply on unseen models. This paper develops a forensic framework that authenticates video by a signal that generation does not control: the electric network frequency (ENF), the mains-driven hum in audio and flicker in video.

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