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AI Consent-Driven Photo Security Platform

Author(s) B. Balakrishna, M. Sruthi, P. Vyshnavi
Country India
Abstract As artificial intelligence keeps evolving at a fast pace, it’s also bringing along some serious concerns—especially when it comes to manipulated images and deepfakes. These technologies can easily be misused, leading to problems like privacy invasion, identity theft, and even online harassment.
To tackle this, we’re suggesting a platform that puts control back into the hands of individuals. The idea is simple: whenever someone uploads a photo, the system creates a unique digital signature based on their face and stores it securely. If someone later tries to edit that image or use it to create a deepfake, the system recognizes the signature and immediately notifies the original owner. Nothing can move forward unless they give clear permission.
On top of that, every action on the platform is recorded in a secure and tamper-proof log. This means there’s always a clear record of what happened and who was involved, adding an extra layer of trust and accountability.
By combining facial recognition technology with user consent and transparent tracking, this approach focuses on protecting people—not just data—making the digital space a bit safer and more respectful.
Keywords Deepfake Detection, Image Manipulation Se- curity, Consent-Driven Systems, Facial Recognition Technology, Digital Identity Protection, Tamper-Proof Audit Systems
Field Engineering
Published In Volume 7, Issue 4, April 2026
Published On 2026-04-06
DOI https://doi.org/10.70528/IJLRP.v7.i4.2077
Short DOI https://doi.org/hbv76x
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