Privacy-preserving smart metering

Rial, Alfredo; Danezis, George

doi:10.1145/2046556.2046564

Cited by 263 publications

(167 citation statements)

References 17 publications

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“…Garcia et al [9] proposed a privacy-preserving protocol to aggregate partial shares of each metering data, but the protocol is not scalable and does not discuss scheme's overhead and efficiency. Rial and Danesiz [10] proposed a privacy preserving protocol using zero knowledge proof that enables the payment without revealing electricity consumption information. F. Li et al [11] introduced an end-to-end signature scheme that supports batch verification of the aggregated results.…”

Section: Related Workmentioning

confidence: 99%

Secure and privacy-preserving concentration of metering data in AMI networks

Saxena

Choi

Grijalva

2017

2017 IEEE International Conference on Communications (ICC)

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Abstract-The industry has recognized the risk of cyberattacks targeting to the advanced metering infrastructure (AMI). A potential adversary can modify or inject malicious data, and can perform security attacks over an insecure network. Also, the network operators at intermediate devices can reveal private information, such as the identity of the individual home and metering data units, to the third-party. Existing schemes generate large overheads and also do not ensure the secure delivery of correct and accurate metering data to all AMI entities, including data concentrator at the utility and the billing center. In this paper, we propose a secure and privacy-preserving data aggregation scheme based on additive homomorphic encryption and proxy re-encryption operations in the Paillier cryptosystem. The scheme can aggregate metering data without revealing the actual individual information (identity and energy usage) to intermediate entities or to any third-party, hence, resolves identity and related data theft attacks. Moreover, we propose a scalable algorithm to detect malicious metering data injected by the adversary. The proposed scheme protects the system against man-in-the-middle, replay, and impersonation attacks, and also maintains message integrity and undeniability. Our performance analysis shows that the scheme generates manageable computation, communication, and storage overheads and has efficient execution time suitable for AMI networks.

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Section: Related Workmentioning

confidence: 99%

Secure and privacy-preserving concentration of metering data in AMI networks

Saxena

Choi

Grijalva

2017

2017 IEEE International Conference on Communications (ICC)

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“…It should be sufficient for the supplier just to know (i) how much electricity in total its customers traded at each period, and (ii) how much per month it should reward/charge each of its customers for the electricity traded on the market. To achieve this, a combination of selective data aggregation using homomorphic encryption (as in [21]), commitment scheme and zero-knowledge proofs (as in [22], [23]) could be used.…”

Section: Security and Privacy Requirementsmentioning

confidence: 99%

A local electricity trading market: Security analysis

Mustafa

Cleemput

Abidin

2016

2016 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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Abstract-This paper proposes a local electricity trading market and provides a comprehensive security analysis of this market. It first presents a market for electricity trading among individual users, and describes the different entities and the interactions among them. Based on this market model and the interactions, the paper analyses security problems and potential privacy threats imposed on users, which leads to the specification of a set of security and privacy requirements. These requirements can be used to guide the future design of secure local electricity trading markets or to perform a risk assessment of such markets.

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“…This dilemma exists in many areas, such as smarter metering and vehicular electronic tolling. Privacypreserving solutions have been proposed in smart metering [10], vehicular tolling [11], [12], and other topics [13]- [15], and can potentially be applied to some attacks in smart grid and social networks [16]- [18].…”

Section: B Privacy and Securitymentioning

confidence: 99%

“…SU signs message m to ob- * Here we assume a linear pricing policy. Our scheme can be adopted to other complicated pricing policy, such as cumulative policy in [10].…”

Section: B Construction Sketchmentioning

confidence: 99%

Preserving secondary users' privacy in cognitive radio networks

Qin

et al. 2014

IEEE INFOCOM 2014 - IEEE Conference on Computer Communications

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Abstract-Cognitive radio plays an important role in improving spectrum utilization in wireless services. In the cognitive radio paradigm, secondary users (SUs) are allowed to utilize licensed spectrum opportunistically without interfering with primary users (PUs). To motivate PU to share licensed spectrum with SU, it is reasonable for SU to pay PU a fee whenever the former is utilizing the latter's licensed spectrum. SU's detailed usage information, such as when and how long the licensed spectrum is utilized, is needed for PU to calculate payment. Providing usage information to PU, however, may compromise SU's privacy. To solve this dilemma, we are the first to propose a novel privacypreserving mechanism for cognitive radio transactions through commitment scheme and zero-knowledge proof. This mechanism, on one hand, only allows PU to know the total payment to SU for a billing period, plus a little portion of SU's usage information. On the other hand, it guarantees PU that the payment is correctly calculated. We have implemented our mechanism and evaluated its performance.

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Privacy-preserving smart metering

Cited by 263 publications

References 17 publications

Secure and privacy-preserving concentration of metering data in AMI networks

Secure and privacy-preserving concentration of metering data in AMI networks

A local electricity trading market: Security analysis

Preserving secondary users' privacy in cognitive radio networks

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