嵌入式区块链：区块链、扩频水印、感知哈希与数字签名的综合
Embedded Blockchains: A Synthesis of Blockchains, Spread Spectrum Watermarking, Perceptual Hashing & Digital Signatures
AI总结：
本文提出嵌入式区块链方案，综合区块链、加密扩频水印、感知哈希和数字签名技术，为每个媒体记录生成独特区块链并嵌入背景噪声，通过遍历区块链验证完整性，利用感知哈希差异估计篡改程度。
摘要：
本文介绍了一种检测篡改音频和视频的方案。该方案是区块链、加密扩频水印、感知哈希和数字签名的综合，我们称之为嵌入式区块链。在此方案中，我们利用区块链的密码学链表数据结构，使用密码哈希进行绝对比较，感知哈希进行灵活比较，数字签名用于所有权证明，并通过加密扩频水印将区块链嵌入媒体的背景噪声中。因此，每个媒体记录都有自己独特的区块链，每个区块包含描述媒体片段的信息。验证媒体完整性的问题被重新表述为逐块、逐段遍历区块链和媒体。如果任何链断裂，计算出的感知哈希与提取的感知哈希之间的差异将用于估计篡改程度。
英文摘要：
In this paper we introduce a scheme for detecting manipulated audio and video. The scheme is a synthesis of blockchains, encrypted spread spectrum watermarks, perceptual hashing and digital signatures, which we call an Embedded Blockchain. Within this scheme, we use the blockchain for its data structure of a cryptographically linked list, cryptographic hashing for absolute comparisons, perceptual hashing for flexible comparisons, digital signatures for proof of ownership, and encrypted spread spectrum watermarking to embed the blockchain into the background noise of the media. So each media recording has its own unique blockchain, with each block holding information describing the media segment. The problem of verifying the integrity of the media is recast to traversing the blockchain, block-by-block, and segment-by-segment of the media. If any chain is broken, the difference in the computed and extracted perceptual hash is used to estimate the level of manipulation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
