NDLI: Comment on “Privacy-Enhanced Data Aggregation Scheme Against Internal Attackers in Smart Grid”

Content Provider	IEEE Xplore Digital Library
Author	Haiyong Bao Rongxing Lu
Copyright Year	2005
Abstract	Quite recently, Fan et al. (IEEE Trans. Ind. Informat., vol. 10, no. 1, pp. 666-675, 2014) proposed a new data aggregation scheme for smart grid communications, and claimed that it can achieve not only user's privacy-preservation, but also data integrity requirement. However, in this paper, we show that Fan et al.'s scheme has a serious security flaw and cannot meet data integrity requirement at all. Specifically, by observing the user registration procedure in Fan et al.'s scheme, we find that each user's private key can be easily derived from the information published by the aggregator. Then, with the derived private key, an attacker can inject polluted data to user's real data without being detected. As a result, data integrity will be completely violated. We hope that with our comment, similar mistakes can be avoided in future design of privacy-preserving data aggregation with data integrity protection.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	2
Ending Page	5
Page Count	4
File Size	317457
File Format	PDF
ISSN	15513203
Volume Number	12
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Public key Smart grids Informatics Data privacy Concrete Energy management Data integrity Smart grid Data aggregation Privacypreserving smart grid data integrity privacy-preserving
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Computer Science Applications

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Comment on “Privacy-Enhanced Data Aggregation Scheme Against Internal Attackers in Smart Grid”

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Comment on “Privacy-Enhanced Data Aggregation Scheme Against Internal Attackers in Smart Grid”