Big Data Security Analytic for Smart Grid with Fog Nodes

被引：5

作者：

Han, Wenlin ^{[1
]}

Xiao, Yang ^{[1
]}

机构：

[1] Univ Alabama, Dept Comp Sci, 342 HM Comer,Box 870290, Tuscaloosa, AL 35487 USA

来源：

SECURITY, PRIVACY, AND ANONYMITY IN COMPUTATION, COMMUNICATION, AND STORAGE | 2016年 / 10066卷

关键词：

Smart Grid security; Big data; Non-Technical Loss; Fog computing; NONTECHNICAL LOSS FRAUD; V2G NETWORKS; SCHEME;

D O I：

10.1007/978-3-319-49148-6_6

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Big data throws big security challenges in Smart Grid. Fog computing emerges as a novel technology to bring the ability of Cloud and big data analytic (BDA) to the edge of the networks. However, we lack practice on how to utilize Fog, Cloud, and BDA to address big data security challenges in Smart Grid. In this paper, we propose a Mapreduce-style algorithm, named Mapreduce-style Fast Non-Technical Loss Fraud Detection scheme (Mapreduce-style FNFD), to detect Non-Technical Loss fraud in Smart Grid. Compared to its original version, FNFD, Mapreduce-style FNFD can utilize the ability of Cloud, Fog, and BDA, and thus can solve big data security issues.

引用

页码：59 / 69

页数：11

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