Towards privacy-preserving anomaly-based attack detection against data falsification in smart grid

Yu Ishimaki, Shameek Bhattacharjee, Hayato Yamana, Sajal K. Das

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In this paper, we present a novel framework for privacy-preserving anomaly-based data falsification attack detection in a smart grid advanced metering infrastructure (AMI). Specifically, we propose an anomaly detection framework over homomorphically encrypted data. Unlike existing privacy-preserving anomaly detectors, our framework detects the presence of not only energy theft (i.e., deductive attack), but also more advanced data integrity attacks (i.e., additive and camouflage attacks) over encrypted data without diminishing detection sensitivity. We optimize the anomaly detection procedure such that potentially expensive operations over homomorphically encrypted space are avoided. Moreover, we optimize the encryption method designed for a resource constrained device such as smart meters, and the time to complete encryption gets 40x faster over the naïve adoption of the encryption method. We also validate the proposed framework using a real dataset from smart metering infrastructures, and demonstrate that the data integrity attacks can be detected with high sensitivity, without sacrificing user privacy. Experimental results with a real dataset of 200 houses from an AMI in Texas showed that the detection sensitivity of the plaintext algorithm is not degraded due to the use of homomorphic encryption.

本文言語English
ホスト出版物のタイトル2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781728161273
DOI
出版ステータスPublished - 2020 11 11
イベント2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020 - Tempe, United States
継続期間: 2020 11 112020 11 13

出版物シリーズ

名前2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020

Conference

Conference2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2020
国/地域United States
CityTempe
Period20/11/1120/11/13

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • エネルギー工学および電力技術
  • 電子工学および電気工学
  • 制御と最適化

フィンガープリント

「Towards privacy-preserving anomaly-based attack detection against data falsification in smart grid」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル