NDLI: Application of Kolmogorov complexity in anomaly detection

Content Provider	IEEE Xplore Digital Library
Author	Ukil, A.
Copyright Year	2010
Description	Author affiliation: Innovation Labs, Tata Consultancy Services, Kolkata, India (Ukil, A.)
Abstract	Kolmogorov complexity is the basis of algorithmic randomness theory. It quantifies the amount of information of individual object, which is measured by the size of its smallest algorithmic description. The concept of Kolmogorov complexity is used in many applications like spam filtering, data compression, information assurance etc. In this paper, we present the application of Kolmogorov complexity in network security field, particularly for anomaly detection. In order to accomplish that, it is assumed that most of the network attacks change the structure of the traffic. This enforces anomaly and hence subsequent intrusion can be detected if the structure or signature of the traffic flow is investigated. From this notion, we propose a signature based anomaly detection scheme. We show through simulation results that with the help of Kolmogorov complexity, we can detect traffic pattern abnormality in a simplistic way. This detection and quantification of traffic pattern eventually lead to anomaly detection.
Starting Page	141
Ending Page	146
File Size	462221
Page Count	6
File Format	PDF
ISBN	9781424481286
e-ISBN	9781424481293
e-ISBN	9781424481279
DOI	10.1109/APCC.2010.5679753
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-31
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Complexity theory Computers Detectors Indexes Simulation Measurement Analytical models IDS intrusion detection anomaly detection kolmogorov complexity
Content Type	Text
Resource Type	Article

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