Privacy-Preserving Data Falsification Detection in Smart Grids using Elliptic Curve Cryptography and Homomorphic Encryption

Sanskruti Joshi, Ruixiao Li, Shameek Bhattacharjee, Sajal K. Das, Hayato Yamana

研究成果: Conference contribution

抄録

In an advanced metering infrastructure (AMI), the electric utility collects power consumption data from smart meters to improve energy optimization and provides detailed information on power consumption to electric utility customers. However, AMI is vulnerable to data falsification attacks, which organized adversaries can launch. Such attacks can be detected by analyzing customers' fine-grained power consumption data; however, analyzing customers' private data violates the customers' privacy. Although homomorphic encryption-based schemes have been proposed to tackle the problem, the disadvantage is a long execution time. This paper proposes a new privacy-preserving data falsification detection scheme to shorten the execution time. We adopt elliptic curve cryptography (ECC) based on homomorphic encryption (HE) without revealing customer power consumption data. HE is a form of encryption that permits users to perform computations on the encrypted data without decryption. Through ECC, we can achieve light computation. Our experimental evaluation showed that our proposed scheme successfully achieved 18 times faster than the CKKS scheme, a common HE scheme.

本文言語English
ホスト出版物のタイトルProceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022
出版社Institute of Electrical and Electronics Engineers Inc.
ページ229-234
ページ数6
ISBN(電子版)9781665481526
DOI
出版ステータスPublished - 2022
イベント8th IEEE International Conference on Smart Computing, SMARTCOMP 2022 - Espoo, Finland
継続期間: 2022 6月 202022 6月 24

出版物シリーズ

名前Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022

Conference

Conference8th IEEE International Conference on Smart Computing, SMARTCOMP 2022
国/地域Finland
CityEspoo
Period22/6/2022/6/24

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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