Securing Restricted Publisher-Subscriber Communications in Smart Grid Substations.

Saxena, N., Grijalva, S. and Choi, B.J., 2018. Securing Restricted Publisher-Subscriber Communications in Smart Grid Substations. In: 10th International Conference on COMmunication Systems & NETworkS (COMSNETS), 3-7 January 2018, Bengaluru, India, pp. 364-371.

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DOI: 10.1109/COMSNETS.2018.8328220

Abstract

Smart Grid applications require accurate and correct data transmission from publisher to subscribers with critical communication latency requirements. Since the smart grid is being supported by distributed communication networks, deployed using various wired and wireless technologies, including IP-based networks, securing the communication infrastructure is both critically important and challenging. In this paper, we propose a secure and efficient data delivery scheme, based on a restricted yet dynamic publisher-subscriber architecture, for the published messages from a publisher to the subscribers distributed in the smart grid network. The scheme ensures that the published message is delivered from an authentic publisher to only those authorized subscribers by verifying publisher's signature and access structure of all subscribers. Operation overheads are reduced by performing only one encryption and decryption or hashing per subscriber location using a proxy node as a remote terminal unit. Our analysis shows that the scheme is resistant against replay, man-in-the-middle, and impersonation attacks. Performance evaluation shows that the scheme can support 600 subscribers given the communication latency requirement of 3 ms. We provide the performance of the scheme under different scenarios, and observe that the efficiency of our scheme increases as the ratio of the geographical locations within a substation to the number of subscribers increases.

Item Type:Conference or Workshop Item (Paper)
ISSN:2155-2509
Uncontrolled Keywords:Smart grid security; publisher-subscriber model; communication latency; measurement data
Group:Faculty of Science & Technology
ID Code:31172
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:30 Aug 2018 08:43
Last Modified:24 Sep 2018 14:52

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