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Dynamic Secrets and Secret Keys Based Scheme for Securing Last Mile Smart Grid Wireless Communication.

Saxena, N. and Grijalva, S., 2017. Dynamic Secrets and Secret Keys Based Scheme for Securing Last Mile Smart Grid Wireless Communication. IEEE Transactions on Industrial Informatics, 13 (3), 1482-1491.

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DOI: 10.1109/TII.2016.2610950

Abstract

An integrated and optimized smart grid cannot be achieved without a secure communication network. Due to the large-scale nature of the power system, the variety of technologies used, and limitations of communication bandwidth, supervisory applications for smart grid still use weak security in many deployments. Adversaries can potentially modify measurement values or inject bad commands over the network. In this paper, we propose a novel scheme based on dynamic secrets and encryption with secret keys. The scheme generates a series of dynamic secrets over the communication network, which are used to generate secret keys for data encryption. The generation of dynamic secret is frequent and no adversary can compromise the network for a longer period, even if he/she knows a secret key. The scheme is secure against eavesdropping, malicious communication injection, man-in-the-middle attack, replay attack, impersonation attack, and chosen-plaintext attack. The security analysis and performance evaluation show that our scheme is feasible to be used in the communication between supervisory and control nodes of various smart grid applications.

Item Type:Article
ISSN:1551-3203
Additional Information:© 2016 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 security; dynamic secret; secret key; secure wireless communication; measurement data
Group:Faculty of Science & Technology
ID Code:26831
Deposited By: Symplectic RT2
Deposited On:02 Feb 2017 16:33
Last Modified:14 Mar 2022 14:02

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