Volume 7 Number 2 (Apr. 2015)
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IJCEE 2015 Vol.7(2): 128-139 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2015.V7.879

Signature-Based Method and Stream Data Mining Technique Performance Evaluation for Security and Intrusion Detection in Advanced Metering Infrastructures (AMI)

Ziaeddin Najafian, Vahe Aghazarian, Alireza Hedayati
Abstract—Advanced Metering Infrastructure is a system for collecting, measuring and analyzing power energy use which beside the mentioned parameters is responsible to transmit this information between elements of this network. One of the problems of processing in these networks and the most main installation duct is security in the network. Beside the precautionary operations used for achieving security in AMI, today the usage of intrusion detection systems (IDS) is paid attention as a second blocker defense against network security attacks. According to variations of Intrusion Detection techniques in network, many different designs for applying IDS and AMI have been suggested so far. In this paper we aim to evaluate the newest techniques of operation in abnormality-based IDS in Intrusion Detection and security achievement in AMI against signature-based IDS operation with the use of standard criteria in equal situations experimentally. According to the results from this research we can see that the signature-based methods are not useful in IDS systems applied in AMI network. The measurement on anomaly-based IDS which is using data mining techniques showed very hopeful results. However these methods need some improvements in order to achieve their best place.

Index Terms—Intrusion detection, network IDS, signature, anomaly, advanced metering infrastructure (AMI), stream data mining, performance evaluation, snort.

Department of Computer Engineering, Islamic Azad University, Central Tehran Branch, Tehran, Iran.

Cite:Ziaeddin Najafian, Vahe Aghazarian, Alireza Hedayati, "Signature-Based Method and Stream Data Mining Technique Performance Evaluation for Security and Intrusion Detection in Advanced Metering Infrastructures (AMI)," International Journal of Computer and Electrical Engineering vol. 7, no. 2, pp. 128-139, 2015.

General Information

ISSN: 1793-8163
Frequency: Bimonthly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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