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A Fast Host-Based Intrusion Detection System Using Rough Set Theory

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Transactions on Rough Sets IV

Part of the book series: Lecture Notes in Computer Science ((TRS,volume 3700))

Abstract

Intrusion Detection system has become the main research focus in the area of information security. Last few years have witnessed a large variety of technique and model to provide increasingly efficient intrusion detection solutions. We advocate here that the intrusive behavior of a process is highly localized characteristics of the process. There are certain smaller episodes in a process that make the process intrusive in an otherwise normal stream. As a result it is unnecessary and most often misleading to consider the whole process in totality and to attempt to characterize its abnormal features. In the present work we establish that subsequences of reasonably small length of sequence of system calls would suffice to identify abnormality in a process. We make use of rough set theory to demonstrate this concept. Rough set theory also facilitates identifying rules for intrusion detection. The main contributions of the paper are the following- (a) It is established that very small subsequence of system call is sufficient to identify intrusive behavior with high accuracy. We demonstrate our result using DARPA’98 BSM data; (b) A rough set based system is developed that can extract rules for intrusion detection; (c) An algorithm is presented that can determine the status of a process as either normal or abnormal on-line.

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Author information

Authors and Affiliations

  1. AI Lab, Dept. of Computer and Information Sciences, University of Hyderabad, Hyderabad, 500046, India

    Sanjay Rawat & Arun K. Pujari

  2. IDRBT, Castle Hills, Road No.1, Masab Tank, Hyderabad, 500057, India

    Sanjay Rawat & V. P. Gulati

Authors
  1. Sanjay Rawat
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  2. V. P. Gulati
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  3. Arun K. Pujari
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Manitoba, R3T 5V6, Winnipeg, Manitoba, Canada

    James F. Peters

  2. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

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Rawat, S., Gulati, V.P., Pujari, A.K. (2005). A Fast Host-Based Intrusion Detection System Using Rough Set Theory. In: Peters, J.F., Skowron, A. (eds) Transactions on Rough Sets IV. Lecture Notes in Computer Science, vol 3700. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11574798_8

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  • DOI: https://doi.org/10.1007/11574798_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29830-4

  • Online ISBN: 978-3-540-32016-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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