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energy-theft detection Issues for Advanced Metering Infrastructure in Smart Grid

Tsinghua Science and Technology 2014年第2期19卷 105-120页

作者： Rong Jiang Rongxing Lu Ye Wang Jun Luo Changxiang Shen Xuemin(Sherman) Shen School of Computer National University of Defense Technology Department of Electrical and Computer Engineering University of Waterloo School of Electrical and Electronics Engineering Nanyang Technological University Communication Engineering Research Center Harbin Institute of Technology Shenzhen Graduate School Computing Technology Institute of China Navy

With the proliferation of smart grid research, the Advanced Metering Infrastructure （AMI） has become the first ubiquitous and fixed computing platform. However, due to the unique characteristics of AMI, such as complex network structure, resource-constrained smart meter, and privacy-sensitive data, it is an especially challenging issue to make AMI secure. energy theft is one of the most important concerns related to the smart grid implementation. It is estimated that utility companies lose more than S25 billion every year due to energy theft around the world. To address this challenge, in this paper, we discuss the background of AMI and identify major security requirements that AMI should meet. Specifically, an attack tree based threat model is first presented to illustrate the energy-theft behaviors in AMI. Then, we summarize the current AMI energy-theft detection schemes into three categories, i.e., classification-based, state estimation-based, and game theory-based ones, and make extensive comparisons and discussions on them. In order to provide a deep understanding of security vulnerabilities and solutions in AMI and shed light on future research directions, we also explore some open challenges and potential solutions for energy-theft detection.

关键词： smart grid Advanced Metering Infrastructure (AMI) security energy-theft detection

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