DocumentCode
713846
Title
Strong authentication countermeasures using dynamic keying for sinkhole and distance spoofing attacks in smart grid networks
Author
Taylor, Clark ; Johnson, Thienne
Author_Institution
Dept. of Comput. Sci., Univ. of Arizona, Tucson, AZ, USA
fYear
2015
fDate
9-12 March 2015
Firstpage
1835
Lastpage
1840
Abstract
This paper presents a proposal to provide secure communications in smart grid / utility metering networks using RPL (Routing Protocol for Low Power and Lossy Networks). The RPL protocol provides optimal routing performance in some wireless sensor networks and may become a strong standard in utility metering networks. However, the protocol does have numerous security flaws which should be addressed prior to its use in critical infrastructure such as automated metering infrastructure (AMI). Among those flaws, this paper examines the sinkhole and distance spoofing attacks; in addition, it proposes modifications to RPL addressing routing vulnerabilities, including using node-to-node encrypted authentication with dynamically served encryption keys and key-compromising detection using data mining. Simulation results show that the proposed resolution provides good performance characteristics for use in utility grid networks.
Keywords
cryptographic protocols; routing protocols; smart power grids; telecommunication security; wireless sensor networks; RPL protocol modification; automated metering infrastructure; data mining; distance spoofing attacks; dynamic keying; key-compromising detection; node-to-node encrypted authentication; routing protocol for low power and lossy networks; secure communications; sinkhole; smart grid networks; strong authentication countermeasures; utility grid networks; utility metering networks; wireless sensor networks; Authentication; Encryption; Routing; Routing protocols; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications and Networking Conference (WCNC), 2015 IEEE
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/WCNC.2015.7127747
Filename
7127747
Link To Document