Current and Future Threats Framework in Smart Grid Domain

Procopiou, A. & Komninos, N. (2015). Current and Future Threats Framework in Smart Grid Domain. Paper presented at the 5th Annual IEEE International Conference on CYBER Technology in Automation Control and Intelligence Systems, 8-06-2015 - 12-06-2015, Shenyang, China.

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Due to smart grid’s complex nature and criticality as an infrastructure, it is important to understand the key actors on each domain in depth so the potential vulnerabilities that can rise are identified. Furthermore, the correct identification of threats affecting the smart grid’s normal functionality must be realised, as well as what impact these threats can have so appropriate countermeasures are implemented. In this paper a list of vulnerabilities that weaken the smart grid is outlined. Also structured analysis of attacks regarding the three key security objectives across the different layers is presented along with appropriate examples applicable to the smart grid infrastructure and what impact each of them has to the smart grid on each case. Finally, a set of new attack scenarios that focus on attacks being initiated from the smart home part of the smart grid is described targeting these security objectives with the potential consequences they can cause to the smart grid.

Item Type: Conference or Workshop Item (Paper)
Additional Information: © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords: Smart Grid; Information Security; Vulnerabilities; Threats; Confidentiality; Integrity; Availability; Attacks
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: School of Informatics > Centre for Software Reliability

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