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Alternative TitleSmart power network neighborhood network malicious user detection method based on power stealing suspicion degree
梁炜; 夏小芳; 郑萌; 肖扬
Rights Holder中国科学院沈阳自动化研究所
Patent Agent21002 沈阳科苑专利商标代理有限公司
Other AbstractThe invention relates to a smart power network neighborhood network malicious user detection method based on power stealing suspicion degree. The method comprises three phases: user suspicion degree evaluation, binary detection tree establishment and malicious user detection. In the user suspicion degree evaluation phase, user power stealing records are analyzed, and predicted values of power consumption of users are compared with reported values of the users, thereby analyzing power stealing possibility of the users. On the basis of the power stealing suspicion degree of the users, a binary detection tree taking the users as leaf nodes is established, and the binary detection tree is taken as a logic structure for assisting the search of the malicious users. In the malicious user detection phase, top-down and deep first search rules are employed. A sub-detector only carries out practical detection on left children of the binary detection tree. According to the detector provided by theinvention, the vast majority of logic nodes on the binary detection tree can be skipped, so the malicious users in a smart power network neighborhood area can be positioned rapidly and accurately.
PCT Attributes
Application Date2016-11-30
Date Available2020-12-29
Application NumberCN201611077571.0
Open (Notice) NumberCN108123920B
Contribution Rank1
Document Type专利
Recommended Citation
GB/T 7714
梁炜,夏小芳,郑萌,等. 基于窃电嫌疑程度的智能电网邻域网络恶意用户检测方法[P]. 2018-06-05.
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