DEP2SA: A Decentralized Efficient Privacy-Preserving and Selective Aggregation Scheme in Advanced Metering Infrastructure

Abstract

This paper proposes a novel solution, called a decentralized, efficient, privacy-preserving, and selective aggregation (DEP2SA) scheme, designed to support secure and user privacy-preserving data collection in the advanced metering infrastructure. DEP2SA is more efficient and applicable in real-life deployment, as compared with the state of the art, by adopting and adapting a number of key technologies: 1) it uses a multi-recipient system model, making it more applicable to a liberalized electricity market; 2) it uses the homomorphic Paillier encryption and selective aggregation methods to protect users' consumption data against both external and internal attacks, thus making it more secure; 3) it aggregates data at the gateways that are closest to the data originator, thus saving bandwidth and reducing the risk of creating a performance bottleneck in the system; and 4) it uses short signature and batch signature verification methods to further reduce computational and communication overheads imposed on aggregating nodes. The scheme has been analyzed in terms of security, computational, and communication overheads, and the results show that it is more secure, efficient, and scalable than related schemes.

A Multi-Authority Attribute-Based Signcryption Scheme with Efficient Revocation for Smart Grid Downlink Communication

“…The considered network model is shown in Figure 1. This model was used in [2], [3] to secure uplink smart grid communications. In this paper, we aim to secure the downlink communications.…”

Privacy-Preserving Aggregation and Authentication of Multi-Source Smart Meters in a Smart Grid System

“…For an aggregator encompassing central controller level aggregation, Mustafa et al [37] considered a multi-recipient model, while Ruj and Nayak [44] examined a single-recipient one. At the gateway level, Li et al [39], He et al [45], Deng and Yang [46], Cho et al [33], Hur et al [47], and He et al [48] constructed an aggregation tree for user privacy.…”

“…In their scheme, the central controller receives encrypted measurements and computes aggregation on them. Mustafa et al [37] designed a privacy-preserving selective aggregation scheme in a multi-recipient system model in concert with a bilinear pairing-based BLS short signature, aggregate signature, and additive homomorphic Paillier encryption algorithms. Garcia and Jacobs [38] proposed a privacy-preserving energy metering system based on homomorphic encryption.…”

“…For efficiency in authentication, various approaches have been taken such as the short signature scheme [37] for communication overhead and the batch signature scheme [43], which looks to shorten computation time. Lu et al [32] presented a modified Paillier encryption in which they pack multiple measurements into a single ciphertext of a smart meter, which then signs the ciphertext and sends it to the local gateway aggregating ciphertext measurements.…”

A local electricity trading market: Security analysis

“…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.…”