A secure and privacy-preserving scheme for secure metering and cooperative communication in advanced metering infrastructure of smart grid networks

被引：0

作者：

Olakanmi O.O. ^{[1
]}

Odeyemi K.O. ^{[2
]}

机构：

[1] Electrical and Electronic Engineering Department, University of Ibadan

[2] Electrical and Electronic Engineering Department, University of Ibadan

来源：

International Journal of Security and Networks | 2021年 / 16卷 / 04期

关键词：

Aggregation; Communication; Metering; Perturbation; Security; Smart grid;

D O I：

10.1504/IJSN.2021.119396

中图分类号：

学科分类号：

摘要：

The high volume of sensitive data on the advanced metering infrastructure (AMI) coupled with the vulnerability of the wireless infrastructure of the smart grid network made AMI a major target for different attacks. Therefore, to secure metering and communication on AMI, there is a need for an efficient solution that enforces confidentiality, integrity, and privacy preservation. Meanwhile, most of the existing security schemes for AMI are incapable of providing vital security requirements at a low cost. In this paper, we propose an efficient privacy-aware and secure metering and communication scheme for AMI. To achieve this, we develop a scheme containing non-complex key management, data aggregation, and authentication procedures. Our scheme allows data aggregation among m-number of customers for secure multi-hop transmission of metering data. Copyright © 2021 Inderscience Enterprises Ltd.

引用

页码：267 / 280

页数：13

共 37 条

[1]

AlAbdulkarim L., Lukszo Z., Fens T., Acceptance of privacy-sensitive technologies: smart metering case in the netherland, Third International Engineering System Symposium, CESUN 2012, (2012)

[2]

Ambrosin M., Hosseini H., Mandal K., Conti M., Poovendran R., Despicable me(ter): anonymous and fine-grained metering data reporting with dishonest meters, 2016 IEEE Conference on Communications and Network Security (CNS), (2016)

[3]

Chaum D., van Heyst E., Group signatures, Advances in Cryptology – EUROCRYPT ‘91, Vol. 547 of Lecture Notes in Computer Science, (1991)

[4]

Chen S., Wen H., Wu J., Lei W., Hou W., Liu W., Jiang Y., Internet of things based smart grids supported by intelligent edge computing, IEEE Access, 7, pp. 74089-74102, (2019)

[5]

Chen Y., Wen H., Wu J., Song H., Xu A., Jiang Y., Wang Z., Clustering based on physical-layer authentication in edge computing systems with asymmetric resources, Sensors, 19, 8, (2019)

[6]

Deng P., Yang L., A secure and privacy-preserving communication scheme for advanced metering infrastructure, 2012 IEEE PES Innovative Smart Grid Technologies (ISGT), (2012)

[7]

Farquharson J., Wang A., Howard J., Smart grid cyber security and substation network security, IEEE PES Innovative Smart Grid Technologies (ISGT), (2012)

[8]

Feng T., Wang F., Zhang W., Ruan L., Confidentiality Protection for Distributed Sensor Data Aggregation, Confidentiality Protection for Distributed Sensor Data Aggregation, (2008)

[9]

Ghosal A., Conti M., Key management systems for smart grid advanced metering infrastructure: a survey, IEEE Communications Surveys & Tutorials, (2019)

[10]

Gong Y., Cai Y., Guo Y., Fang Y., A privacy-preserving scheme for incentive-based demand response in the smart grid, IEEE Transactions on Smart Grid, 7, 3, pp. 1304-1313, (2016)

← 1 2 3 4 →