NDLI: Hybrid Control Network Intrusion Detection Systems for Automated Power Distribution Systems

Content Provider	IEEE Xplore Digital Library
Author	Parvania, M. Koutsandria, G. Muthukumary, V. Peisert, S. McParland, C. Scaglione, A.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Univ. of California, Davis, Davis, CA, USA (Muthukumary, V.; Peisert, S.) \|\| Lawrence Berkeley Nat. Lab., Berkeley, CA, USA (McParland, C.) \|\| Dept. of Electr. & Comput. Eng., Univ. of California, Davis, Davis, CA, USA (Parvania, M.; Koutsandria, G.; Scaglione, A.)
Abstract	In this paper, we describe our novel use of network intrusion detection systems (NIDS) for protecting automated distribution systems (ADS) against certain types of cyber attacks in a new way. The novelty consists of using the hybrid control environment rules and model as the baseline for what is normal and what is an anomaly, tailoring the security policies to the physical operation of the system. NIDS sensors in our architecture continuously analyze traffic in the communication medium that comes from embedded controllers, checking if the data and commands exchanged conform to the expected structure of the controllers interactions, and evolution of the system's physical state. Considering its importance in future ADSs, we chose the fault location, isolation and service restoration (FLISR) process as our distribution automation case study for the NIDS deployment. To test our scheme, we emulated the FLISR process using real programmable logic controllers (PLCs) that interact with a simulated physical infrastructure. We used this test bed to examine the capability of our NIDS approach in several attack scenarios. The experimental analysis reveals that our approach is capable of detecting various attacks scenarios including the attacks initiated within the trusted perimeter of the automation network by attackers that have complete knowledge about the communication information exchanged.
Starting Page	774
Ending Page	779
File Size	808145
Page Count	6
File Format	PDF
ISBN	9781479922338
DOI	10.1109/DSN.2014.81
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Monitoring Intrusion detection Protocols Circuit faults Circuit breakers IP networks intrusion detection systems Power distribution systems distribution automation network security
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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