A Privacy-Preserving and Cheat-Resilient electricity consumption reporting Scheme for smart grids

Abstract

One of the significant benefits of smart grid as compared to conventional power grid is the capability to collect fine-grained data from each smart meter remotely, thereby enabling utility provider to balance load effectively and offer time-adaptive pricing schemes. Nevertheless, the ability to read fine-granular measurements constitutes a serious privacy threat to the consumers. Therefore, it is crucial to consider the privacy issues in smart grid in order to preserve consumers' privacy and protect data integrity. In this paper, we propose a PrivacyPreserving and Cheat-Resilient (PPCR) electricity consumption reporting scheme for smart grid communication. PPCR adopts incremental hash function to conceal consumers' energy usage data from unauthorized parties, as well as the utility companies. The proposed scheme enables utility provider to perform data integrity check without disrupting smart grid services such as load management and billing. Security analysis is conducted to demonstrate that PPCR withstands malicious operations, preserves consumers' privacy and is robust to adversaries' cheating and smart meters malfunction.

Privacy-preserving data aggregation in resource-constrained sensor nodes in Internet of Things: A review

“…Communication Overhead (CO) in Hayouni et al [5] is also high as it distributes two sets of key vectors to each node for a certain time and also adds two tags to each message for integrity, which create extra burden in the network. CO of [13] is a slightly high than [10] as it sends all the secret to privacy Secret Sharing Prevent nodes from reconstructing and retrieving the hidden data even having all the shares Do not discuss the mechanism to feed the variables in sensor nodes. 6…”

“…Kumar and Madria [8] have both medium SL and EC. Yip et al [10] and callegary et al [13] can both have high sensor life. Due to repeated encryption and decryption of message Bista et al [9] provide small SL and medium EC.…”

“…while[10] calculate the total cost and send it not the original data to the utility provider and thus it has a very lower CC and CO as shown in Figs. 3e6.…”

“…3e6. However the scheme in Ref [10]. could not be used in most of the applications because it do not send the original data but rather a calculated cost value.…”

Design of security mechanism for communication networks in smart grid

“…Sook-Chin Yip et al [33] employ an incremental hash function to conceal the consumer data while allowing the utility company to check the integrity of user data. The approach is divided into a threestep procedure: 1) the real time power consumption is converted to a corresponding cost using a quadratic cost function which is then hashed with an incremental hash function.…”