Trusted Management and Traceability Technology of Power Data

Chen Zhang, Bingyue Peng, Xiang Yu, Xin Zhan, Hengmen Liu, Wenqing Ruan
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Abstract

With the rapid advancement of market economy and the rapid change of science and technology, big data related technologies have been rapidly developed, and the application scope of power big data has been continuously expanded, which has put forward higher requirements for the security, availability and integrity of enterprise power big data application. Consider various trust demand in this paper, we study the data management model and data in use process traceability method, is put forward based on the digital fingerprint technology of cryptography algorithm, using the block chain decentralized, not tampered with, the characteristics of open and transparent, solve the power data in multidimensional body circulation between availability and completeness of the requirements of the data analysis of the whole process of mutual trust, At the same time, the power data traceability mechanism should be established to solve the possible data tampering problems from the source. For the malicious tampering and misoperation of operation data, the accident source and responsibility can be traced.
电力数据可信管理与可追溯技术
随着市场经济的快速推进和科学技术的快速变革,大数据相关技术得到快速发展,电力大数据的应用范围不断扩大,这对企业电力大数据应用的安全性、可用性和完整性提出了更高的要求。本文考虑到各种信任需求,研究了数据管理模型和数据在使用过程中的可追溯性方法,提出了基于数字指纹技术的加密算法,利用区块链的去中心化、不可篡改、公开透明的特点,解决了电力数据在多维体之间流通的可用性和完整性要求,对数据进行了全过程的相互信任分析;同时建立电力数据溯源机制,从源头上解决可能出现的数据篡改问题。对于运行数据的恶意篡改和误操作,可追溯事故来源和责任。
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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