Efficient Privacy-Preserving Data Collection Scheme for Smart Grid AMI Networks

Mohammed, Hawzhin; Tonyalı, Samet; Rabieh, Khaled; Mahmoud, Mohamed; Akkaya, Kemal

doi:10.1109/glocom.2016.7841782

Cited by 33 publications

(31 citation statements)

References 10 publications

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“…3, he can obtain v i,j P and v j,i P . However, given Point Multiplication (1024bit) 1.36 µs T 11 Paillier encryption (1024bits) 19.47 ms T 12 Paillier decryption (1024bits) 18.88 ms T 13 Paillier aggregation (1024bits) 19.9 µs T 14 Paillier Ciphertext Exponentiation 24.25 ms v i,j P and P , it is computationally infeasible to obtain v i,j . Therefore, only the involved parties can compute the keys.…”

Section: ) Data Integritymentioning

confidence: 99%

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EPIC: Efficient Privacy-Preserving Scheme With EtoE Data Integrity and Authenticity for AMI Networks

Alsharif

Nabil

Tonyalı

et al. 2019

IEEE Internet Things J.

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In Advanced Metering Infrastructure (AMI) networks, smart meters should send fine-grained power consumption readings to electric utilities to perform real-time monitoring and energy management. However, these readings can leak sensitive information about consumers' activities. Various privacypreserving schemes for collecting fine-grained readings have been proposed for AMI networks. These schemes aggregate individual readings and send an aggregated reading to the utility, but they extensively use asymmetric-key cryptography which involves large computation/communication overhead. Furthermore, they do not address End-to-End (E2E) data integrity, authenticity, and computing electricity bills based on dynamic prices. In this paper, we propose EPIC, an efficient and privacy-preserving data collection scheme with E2E data integrity verification for AMI networks. Using efficient cryptographic operations, each meter should send a masked reading to the utility such that all the masks are canceled after aggregating all meters' masked readings, and thus the utility can only obtain an aggregated reading to preserve consumers' privacy. The utility can verify the aggregated reading integrity without accessing the individual readings to preserve privacy. It can also identify the attackers and compute electricity bills efficiently by using the fine-grained readings without violating privacy. Furthermore, EPIC can resist collusion attacks in which the utility colludes with a relay node to extract the meters' readings. A formal proof, probabilistic analysis are used to evaluate the security of EPIC, and ns-3 is used to implement EPIC and evaluate the network performance. In addition, we compare EPIC to existing data collection schemes in terms of overhead and security/privacy features.

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Section: ) Data Integritymentioning

confidence: 99%

“…The main difference between the conference version and the current version are as follows. First, [14] did not address E2E data integrity, E2E authenticity, attacker identification, dynamic pricing, and details of key management and sharing secret masks offline and efficiently. The journal version addresses all these challenges.…”

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confidence: 99%

EPIC: Efficient Privacy-Preserving Scheme With EtoE Data Integrity and Authenticity for AMI Networks

Alsharif

Nabil

Tonyalı

et al. 2019

IEEE Internet Things J.

Self Cite

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“…In this case, when the aggregator (DC in [23]) colludes with a smart meter SM 2 , then the aggregator can know the usage data of another smart meter SM 1 , which is a serious privacy issue. Apart from [20]- [23], a masking-based multi-hop data aggregation scheme has been proposed in [24]. During data aggregation, each smart meter needs to select n proxies and add masking values to meter readings.…”

Section: A Related Workmentioning

confidence: 99%

Lightweight and Privacy-Friendly Spatial Data Aggregation for Secure Power Supply and Demand Management in Smart Grids

Gope

Sikdar

2019

IEEE Trans.Inform.Forensic Secur.

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“…The role of data traffic distribution in a smart grid network [66][67][68][69][70] can be classified into two sections. The first among these is a home area network (HAN) [71], which involves interaction between the utility and the users through underlying connections such as smart meters and sensors.…”

Section: Smart Grid and 5gmentioning

confidence: 99%

Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review

et al. 2019

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Wireless cellular networks are emerging to take a strong stand in attempts to achieve pervasive large scale obtainment, communication, and processing with the evolution of the fifth generation (5G) network. Both the present day cellular technologies and the evolving new age 5G are considered to be advantageous for the smart grid. The 5G networks exhibit relevant services for critical and timely applications for greater aspects in the smart grid. In the present day electricity markets, 5G provides new business models to the energy providers and improves the way the utility communicates with the grid systems. In this work, a complete analysis and a review of the 5G network and its vision regarding the smart grid is exhibited. The work discusses the present day wireless technologies, and the architectural changes for the past years are shown. Furthermore, to understand the user-based analyses in a smart grid, a detailed analysis of 5G architecture with the grid perspectives is exhibited. The current status of 5G networks in a smart grid with a different analysis for energy efficiency is vividly explained in this work. Furthermore, focus is emphasized on future reliable smart grid communication with future roadmaps and challenges to be faced. The complete work gives an in-depth understanding of 5G networks as they pertain to future smart grids as a comprehensive analysis.Energies 2019, 12, 2140 2 of 17 a need for an information system network that covers all the substations connected with the user facilities and the utilities. This provides the required system analysis with the needed reliable communication systems, which is an important building block of smart grid visibility.According to the communication standards, different communication technologies [11,12] can be classified based on either wired and wireless communications. Presently, wireless communications are preferred over wired communications for various reasons and in distinct applications with the reliability of cost at lower rates. This enhances infrastructure and provides readily available connections, even in remote areas. There are diverse factors, such as operational costs, environmental concerns, and availability of resources, to consider when choosing a proper, stable communication system. The voluminous and steady growth of communication technology over past decades is clearly explained in Figure 1. The development of new communication infrastructure with the existing wireless technologies can be more advantageous in smart grids. This provides advanced infrastructure where the need to spend additional cost and time [13] can be avoided. This establishes up-gradation of new wireless communication technologies for future smart grid communication systems [14][15][16][17][18][19]. For the past four decades-and marching towards the new wave of the technological era-growth of communication technologies has been an inevitable part of all modes of applications. To address prominent issues for developing new generation cellular communications, certain para...

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Efficient Privacy-Preserving Data Collection Scheme for Smart Grid AMI Networks

Cited by 33 publications

References 10 publications

EPIC: Efficient Privacy-Preserving Scheme With EtoE Data Integrity and Authenticity for AMI Networks

EPIC: Efficient Privacy-Preserving Scheme With EtoE Data Integrity and Authenticity for AMI Networks

Lightweight and Privacy-Friendly Spatial Data Aggregation for Secure Power Supply and Demand Management in Smart Grids

Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review

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