Research on Deep Forgery Data Identification and Traceability Technology Based on Blockchain

Ke-wei Yang, Da Li, Qingbei Guo, Hejian Wang, Desheng Bai, Xiukui Pan
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引用次数: 1

Abstract

With the acceleration of the digital transformation of the power system, the electronic data in the power production operation has shown an explosive growth. However, the increasing proliferation of deep forgery technology has brought huge hidden dangers to the electronic data management of power grid enterprises, and it is urgent to build a trusted management system for electronic data. This paper proposes a blockchain-based deep forgery data identification and traceability framework. Firstly, a method of trusted identification of electronic data based on blockchain is proposed, which constructs the unique identification of data and embeds it in the electronic data as a digital watermark. Second, introduce blockchain-based electronic data forensic appraisal technology to conduct authenticity and similarity analysis of electronic data. Finally, a deep forgery data traceability mechanism based on digital identification is designed to realize deep forgery data traceability and dissemination supervision. After comparative analysis, the framework is more secure and efficient in deep forgery data supervision, and can provide key support for building a trusted content system in cyberspace.
基于区块链的深度伪造数据识别与溯源技术研究
随着电力系统数字化转型的加快,电力生产运行中的电子数据呈现爆发式增长。然而,深度伪造技术的日益泛滥给电网企业的电子数据管理带来了巨大的隐患,亟需建立一个可信的电子数据管理系统。提出了一种基于区块链的深度伪造数据识别和可追溯框架。首先,提出了一种基于区块链的电子数据可信识别方法,该方法构造了数据的唯一标识,并以数字水印的形式嵌入到电子数据中。第二,引入基于区块链的电子数据取证鉴定技术,对电子数据进行真实性和相似性分析。最后,设计了一种基于数字识别的深度伪造数据溯源机制,实现深度伪造数据溯源和传播监督。经过对比分析,该框架在深度伪造数据监管方面更加安全高效,可以为构建网络空间可信内容体系提供关键支撑。
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