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SSGMT: A Secure Smart Grid Monitoring Technique

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Critical Information Infrastructures Security (CRITIS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12332))

Abstract

Critical infrastructure systems like power grid require an improved critical information infrastructure (CII) that can not only help in monitoring of the critical entities but also take part in failure analysis and self-healing. Efficient designing of a CII is challenging as each kind of communication technology has its own advantages and disadvantages. Wired networks are highly scalable and secure, but they are neither cost effective nor dynamic in nature. Wireless communication technologies on the other hand are easy to deploy, low cost etc. but they are vulnerable to cyber-attacks. In order to optimize cost, power consumption, dynamic nature, accuracy and scalability a hybrid communication network is designed in this paper where a portion of the communication network is built using wireless sensor networks (WSN) and the rest is a wired network of fiber optic channels. To offer seamless operation of the hybrid communication network and provide security a Secure Smart Grid Monitoring Technique (SSGMT) is also proposed. The performance of the proposed hybrid CII for the generation and transmission system of power grid coupled with the SSGMT during different cyber-attacks is tested using NS2 simulator. The simulation results show that the SSGMT for a joint power communication network of IEEE 118-Bus system performs better than the prevailing wireless CIIs like Lo-ADI and Modified AODV.

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Correspondence to Sohini Roy .

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Roy, S. (2020). SSGMT: A Secure Smart Grid Monitoring Technique. In: Rashid, A., Popov, P. (eds) Critical Information Infrastructures Security. CRITIS 2020. Lecture Notes in Computer Science(), vol 12332. Springer, Cham. https://doi.org/10.1007/978-3-030-58295-1_5

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  • DOI: https://doi.org/10.1007/978-3-030-58295-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-58294-4

  • Online ISBN: 978-3-030-58295-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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