Edwards curve digital signature algorithm for video integrity verification on blockchain framework

IF 1.9 4区 医学 Q2 MEDICINE, LEGAL
Linju Lawrence , R. Shreelekshmi
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引用次数: 0

Abstract

Within the field of forensic science, video integrity is an essential component that ensures the validity and dependability of visual evidence that is essential for court cases. Maintaining the integrity of justice in a time when digital modification tools are easily accessible requires making sure that video recordings are unaltered. Video footage is carefully inspected by forensic analysts who use advanced tools to look for indications of manipulation or change. This paper presents a novel, lightweight approach for verifying the integrity of video data. The proposed method utilizes the blockchain and the Edwards Curve Digital Signature Algorithm, coupled with the BLAKE2b hash function. Signatures are generated for video clips with a predetermined size called video segments and stored in blocks chronologically. The signature of the previous block is stored in the current block to add another layer of security. At the time of validation, these signatures are verified. Experimental results show that the proposed method outperforms state-of-the-art methods in both speed and security. Our method is capable of identifying any type of forgery on any video file, by anyone, at any given moment, with insignificant additional storage requirements. Furthermore, our security analysis shows that our method is resilient against various types of attacks, including collision attacks, key substitution attacks, side-channel attacks, and chosen message attacks. The proposed lightweight video integrity verification method is better suited for use in resource constrained devices.

区块链框架上用于视频完整性验证的爱德华曲线数字签名算法
在法医学领域,视频完整性是确保视觉证据有效性和可靠性的重要组成部分,而视觉证据对法庭案件至关重要。在数字修改工具很容易获得的时代,要维护司法的公正性,就必须确保视频录像不被篡改。法证分析师会使用先进的工具仔细检查视频录像,以寻找被篡改或更改的迹象。本文提出了一种验证视频数据完整性的新型轻量级方法。所提出的方法利用了区块链和爱德华兹曲线数字签名算法,以及 BLAKE2b 哈希函数。签名是为预先确定大小的视频片段(称为视频段)生成的,并按时间顺序存储在区块中。前一个区块的签名存储在当前区块中,以增加另一层安全性。在验证时,这些签名将被验证。实验结果表明,所提出的方法在速度和安全性方面都优于最先进的方法。我们的方法能够识别任何人在任何给定时刻对任何视频文件进行的任何类型的伪造,而所需的额外存储空间微不足道。此外,我们的安全性分析表明,我们的方法能够抵御各种类型的攻击,包括碰撞攻击、密钥替换攻击、侧信道攻击和选择信息攻击。所提出的轻量级视频完整性验证方法更适合在资源有限的设备中使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Science & Justice
Science & Justice 医学-病理学
CiteScore
4.20
自引率
15.80%
发文量
98
审稿时长
81 days
期刊介绍: Science & Justice provides a forum to promote communication and publication of original articles, reviews and correspondence on subjects that spark debates within the Forensic Science Community and the criminal justice sector. The journal provides a medium whereby all aspects of applying science to legal proceedings can be debated and progressed. Science & Justice is published six times a year, and will be of interest primarily to practising forensic scientists and their colleagues in related fields. It is chiefly concerned with the publication of formal scientific papers, in keeping with its international learned status, but will not accept any article describing experimentation on animals which does not meet strict ethical standards. Promote communication and informed debate within the Forensic Science Community and the criminal justice sector. To promote the publication of learned and original research findings from all areas of the forensic sciences and by so doing to advance the profession. To promote the publication of case based material by way of case reviews. To promote the publication of conference proceedings which are of interest to the forensic science community. To provide a medium whereby all aspects of applying science to legal proceedings can be debated and progressed. To appeal to all those with an interest in the forensic sciences.
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