Visible to the public A secure data aggregation protocol for fog computing based smart grids

TitleA secure data aggregation protocol for fog computing based smart grids
Publication TypeConference Paper
Year of Publication2018
AuthorsOkay, F. Y., Ozdemir, S.
Conference Name2018 IEEE 12th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG 2018)
Keywordsadditive homomorphic encryption consumer privacy, cloud computing, cloud server, computational overhead, cryptography, data aggregation, data aggregation process, data privacy, Data Transmission, edge computing, end-to-end confidentiality, FCSG, Fog Computing, fog layer, Human Behavior, Internet of Things, Metrics, novel Domingo-Ferrer additive privacy, performance evaluation results, policy-based governance, privacy, Protocols, pubcrawl, Resiliency, secure data aggregation, Secure Data Aggregation scheme, security analysis, Servers, Smart grid, Smart Grid Consumeer Privacy, smart grid consumer privacy, Smart grids, smart power grids, storage efficiency, storage overhead, telecommunication security, transmission overhead
Abstract

In Smart Grids (SGs), data aggregation process is essential in terms of limiting packet size, data transmission amount and data storage requirements. This paper presents a novel Domingo-Ferrer additive privacy based Secure Data Aggregation (SDA) scheme for Fog Computing based SGs (FCSG). The proposed protocol achieves end-to-end confidentiality while ensuring low communication and storage overhead. Data aggregation is performed at fog layer to reduce the amount of data to be processed and stored at cloud servers. As a result, the proposed protocol achieves better response time and less computational overhead compared to existing solutions. Moreover, due to hierarchical architecture of FCSG and additive homomorphic encryption consumer privacy is protected from third parties. Theoretical analysis evaluates the effects of packet size and number of packets on transmission overhead and the amount of data stored in cloud server. In parallel with the theoretical analysis, our performance evaluation results show that there is a significant improvement in terms of data transmission and storage efficiency. Moreover, security analysis proves that the proposed scheme successfully ensures the privacy of collected data.

URLhttps://ieeexplore.ieee.org/document/8372598
DOI10.1109/CPE.2018.8372598
Citation Keyokay_secure_2018