基于混沌序列的电力营销数据去隐私化加密方法研究

Research on Deprivileged Encryption Method of Power Marketing Data Based on Chaotic Sequence

文章应用混沌序列,研究了电力营销数据去隐私化加密方法。利用最小二偏赋权法明确评估指标权重,采用五元联系数对电力营销数据隐私评估指标分阶偏处理,通过混沌序列加密方式及密钥流生成机制,建立基于Logistic混沌序列的数据加/解密模型;利用间隔取数手段提高明文攻击适应度,明确加密后密文数据统计分布状态,权衡加密方法有效性,完成电力营销数据去隐私化加密目标。

In this paper,chaotic sequence is introduced to study the deprivileged encryption method for power marketing data.The minimum bipartite weighting method is used to determine the weight of the evaluation index,and the five-element connection number is used to process the privacy evaluation index of power marketing data.A data encryption/decryption model,based on Logistic chaotic sequence,is established by means of chaotic sequence encryption and key flow generation mechanism.Interval access method is used to improve the plaintext attack fitness and clarify the statistical distribution state of encrypted data,and to balance the effectiveness of the encryption method and achieve the goal of de privacy encryption of power marketing data.