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In today’s highly connected world, there are even greater risks facing online media content for security. We have approached this challenge by developing a new security system that brings together three strong technologies: Blockchain for open ledger, InterPlanetary File System (IPFS) for distributed storage, and AI-assisted deep learning for smart verification. We developed it using the VGG16 neural network model on a web platform so it would be efficient and easy to use. We start by completely stripping identifying metadata and deriving important features from the media files, and safely encrypting them by using AES technology. It is akin to a fingerprint system for the digital world. We store the media files on a network of computers using IPFS, while blockchain maintains a record of ownership and changes that cannot be altered for any reason. To verify whether the media is authentic, we visually compare features with cosine similarity as facial recognition does with faces. Extra security measures were employed through BLAKE3 hashing as a one-fingerprint digital fingerprint at every checkpoint. We wanted to integrate a solution to protect digital media from tampering and fraudulent uses, yet as practical as possible in everyday life, generally, an upgrade or improved security system that offers the user ease of use.

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Leveraging Blockchain Technology to Combat Deepfakes: A Novel Approach

  • 章节

  • 发表日期：

    2026年

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  • Ramesh Yegireddi,
  • Gudla Jayanth Sairam,
  • Vandrangi Sandeep,
  • Mailarabhatla Sirisha,
  • B. L. Sivamani,
  • Moyyi Premsai

摘要

In today’s highly connected world, there are even greater risks facing online media content for security. We have approached this challenge by developing a new security system that brings together three strong technologies: Blockchain for open ledger, InterPlanetary File System (IPFS) for distributed storage, and AI-assisted deep learning for smart verification. We developed it using the VGG16 neural network model on a web platform so it would be efficient and easy to use. We start by completely stripping identifying metadata and deriving important features from the media files, and safely encrypting them by using AES technology. It is akin to a fingerprint system for the digital world. We store the media files on a network of computers using IPFS, while blockchain maintains a record of ownership and changes that cannot be altered for any reason. To verify whether the media is authentic, we visually compare features with cosine similarity as facial recognition does with faces. Extra security measures were employed through BLAKE3 hashing as a one-fingerprint digital fingerprint at every checkpoint. We wanted to integrate a solution to protect digital media from tampering and fraudulent uses, yet as practical as possible in everyday life, generally, an upgrade or improved security system that offers the user ease of use.