A Survey on Privacy-preserving Schemes for Smart Grid Communications

Ferrag, Mohamed Amine; Maglaras, Leandros A.; Janicke, Helge; Jiang, Jianmin

doi:10.48550/arxiv.1611.07722

Cited by 3 publications

(3 citation statements)

References 148 publications

(450 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The scheme is resistant to differential attacks and keeps consumers information secret with an acceptable noise rate. PDAFT [7], DPAFT [4], and MuDA [7], shows nearly same characteristics with differences on their cryptographic methods [12]. PDAFT employs homomorphic Paillier cryptosystem [23], while DPAFT and MUDA use Boneh-Goh-Nissim cryptosystem [5].…”

Section: Related Workmentioning

confidence: 98%

Statistical-Based Privacy-Preserving Scheme with Malicious Consumers Identification for Smart Grid

Ahadipour,

Mohammadi,

Keshavarz-Haddad

2019

Preprint

View full text Add to dashboard Cite

As smart grids are getting popular and being widely implemented, preserving the privacy of consumers is becoming more substantial. Power generation and pricing in smart grids depends on the continuously gathered information from the consumers. However, having access to the data relevant to the electricity consumption of each individual consumer is in conflict with its privacy. One common approach for preserving privacy is to aggregate data of different consumers and to use their smartmeters for calculating the bills. But in this approach, malicious consumers who send erroneous data to take advantage or disrupt smart grid cannot be identified. In this paper, we propose a new statistical-based scheme for data gathering and billing in which the privacy of consumers is preserved, and at the same time, if any consumer with erroneous data can be detected. Our simulation results verify these matters.

show abstract

Section: Related Workmentioning

confidence: 98%

Statistical-Based Privacy-Preserving Scheme with Malicious Consumers Identification for Smart Grid

Ahadipour,

Mohammadi,

Keshavarz-Haddad

2019

Preprint

View full text Add to dashboard Cite

show abstract

“…22 are published between 2011 and 2016. We noted here that we have reviewed some authentication protocols proposed for secure smart grid communications in our survey in [164], namely, the schemes in [254], [255], [256], [33], [257], [258], [259], [260], [261]. In this subsection, we will review only the works that are not reviewed in the survey [164].…”

Section: Authentication Protocols For Ioementioning

confidence: 99%

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

Self Cite

234

131

View full text Add to dashboard Cite

In this paper, a comprehensive survey of authentication protocols for Internet of Things (IoT) is presented. Specifically more than forty authentication protocols developed for or applied in the context of the IoT are selected and examined in detail. These protocols are categorized based on the target environment: (1) Machine to Machine Communications (M2M), (2) Internet of Vehicles (IoV), (3) Internet of Energy (IoE), and (4) Internet of Sensors (IoS). Threat models, countermeasures, and formal security verification techniques used in authentication protocols for the IoT are presented. In addition a taxonomy and comparison of authentication protocols that are developed for the IoT in terms of network model, specific security goals, main processes, computation complexity, and communication overhead are provided. Based on the current survey, open issues are identified and future research directions are proposed.

show abstract

“…Differential attack: In a differential privacy attack, the adversary can infer information from two adjacent datasets [7,12,34,35].…”

mentioning

confidence: 99%

Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends

Khan

et al. 2022

Energies

View full text Add to dashboard Cite

Secure data aggregation is an important process that enables a smart meter to perform efficiently and accurately. However, the fault tolerance and privacy of the user data are the most serious concerns in this process. While the security issues of Smart Grids are extensively studied, these two issues have been ignored so far. Therefore, in this paper, we present a comprehensive survey of fault-tolerant and differential privacy schemes for the Smart Gird. We selected papers from 2010 to 2021 and studied the schemes that are specifically related to fault tolerance and differential privacy. We divided all existing schemes based on the security properties, performance evaluation, and security attacks. We provide a comparative analysis for each scheme based on the cryptographic approach used. One of the drawbacks of existing surveys on the Smart Grid is that they have not discussed fault tolerance and differential privacy as a major area and consider them only as a part of privacy preservation schemes. On the basis of our work, we identified further research areas that can be explored.

show abstract

A Survey on Privacy-preserving Schemes for Smart Grid Communications

Cited by 3 publications

References 148 publications

Statistical-Based Privacy-Preserving Scheme with Malicious Consumers Identification for Smart Grid

Statistical-Based Privacy-Preserving Scheme with Malicious Consumers Identification for Smart Grid

Authentication Protocols for Internet of Things: A Comprehensive Survey

Fault-Tolerant Secure Data Aggregation Schemes in Smart Grids: Techniques, Design Challenges, and Future Trends

Contact Info

Product

Resources

About