DocumentCode
726371
Title
Impact assessment of net metering on smart home cyberattack detection
Author
Yang Liu ; Shiyan Hu ; Jie Wu ; Yiyu Shi ; Yier Jin ; Yu Hu ; Xiaowei Li
Author_Institution
Michigan Technol. Univ., Houghton, MI, USA
fYear
2015
fDate
8-12 June 2015
Firstpage
1
Lastpage
6
Abstract
Despite the increasing popularity of the smart home concept, such a technology is vulnerable to various security threats such as pricing cyberattacks. There are some technical advances in developing detection and defense frameworks against those pricing cyberattacks. However, none of them considers the impact of net metering, which allows the customers to sell the excessively generated renewable energy back to the grid. At a superficial glance, net metering seems to be irrelevant to the cybersecurity, while this paper demonstrates that its implication is actually profound. In this paper, we propose to analyze the impact of the net metering technology on the smart home pricing cyberattack detection. Net metering changes the grid energy demand, which is considered by the utility when designing the guideline price. Thus, cyberattack detection is compromised if this impact is not considered. It motivates us to develop a new smart home pricing cyberattack detection framework which judiciously integrates the net metering technology with the short/long term detection. The simulation results demonstrate that our new framework can significantly improve the detection accuracy from 65.95% to 95.14% compared to the state-of-art detection technique.
Keywords
building management systems; metering; power grids; pricing; renewable energy sources; security of data; cybersecurity; grid energy demand; net metering impact assessment; renewable energy; security threats; smart home pricing cyberattack detection framework; Computer crime; Entropy; Guidelines; Optimization; Peak to average power ratio; Pricing; Smart homes; Cyberattack; Net Metering; Renewable Energy; Smart Home; Stochastic Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Design Automation Conference (DAC), 2015 52nd ACM/EDAC/IEEE
Conference_Location
San Francisco, CA
Type
conf
DOI
10.1145/2744769.2747930
Filename
7167281
Link To Document