Title: Malicious device inspection home area network in smart grids

Authors: Eric McCary; Yang Xiao

Addresses: Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487-0290, USA ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China; Department of Computer Science, The University of Alabama, Tuscaloosa, AL 35487-0290, USA

Abstract: The electricity industry is entering a new era, which adds powerful and innovative features to the current power grid. Home area networks (HAN) are integral in the operation of this cyber-physical infrastructure and has generally been considered one of the most insecure and vulnerable areas of the smart grid. Literature in the area is lacking and accountability in the HAN is seldom discussed. In this paper, accountability in the HAN is studied. We propose a method, which provides for grouping and inspection of the devices in a HAN in order to pinpoint malicious devices efficiently therein. With this, a higher level of fine-grained accountability can be achieved in the smart grid HAN. The experimental results show that the method is effective in its efficiency and scheme.

Keywords: accountability; inspection; witness; smart grid.

DOI: 10.1504/IJSNET.2017.086791

International Journal of Sensor Networks, 2017 Vol.25 No.1, pp.45 - 62

Received: 20 Jan 2017
Accepted: 21 Jan 2017
Published online: 26 Sep 2017 *

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