Designing Light Weight Intrusion Detection Systems: Non-Negative Matrix Factorization Approach

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Author(s): Václav Snášel (VSB—Technical University of Ostrava, Czech Republic), Jan Platoš (VSB—Technical University of Ostrava, Czech Republic), Pavel Krömer (VSB—Technical University of Ostrava, Czech Republic)and Ajith Abraham (Norwegian University of Science and Technology, Norway)
Copyright: 2009
Pages: 14
Source title: Socioeconomic and Legal Implications of Electronic Intrusion
Source Author(s)/Editor(s): Dionysios Politis (Aristotle University of Thessaloniki, Greece), Phaedon-John Kozyris (Aristotle University of Thessaloniki, Greece)and Ioannis Iglezakis (Aristotle University of Thessaloniki, Greece)
DOI: 10.4018/978-1-60566-204-6.ch013

Keywords: Digital Crime & Forensics / Information Science Reference / IT Security and Ethics / Security & Forensics

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Abstract

Recently cyber security has emerged as an established discipline for computer systems and infrastructures with a focus on protection of valuable information stored on those systems from adversaries who want to obtain, corrupt, damage, destroy or prohibit access to it. An Intrusion Detection System (IDS) is a program that analyzes what happens or has happened during an execution and tries to find indications that the computer has been misused. This chapter presents some of the challenges in designing efficient ad light weight intrusion detection systems, which could provide high accuracy, low false alarm rate and reduced number of features. Finally, the authors present the Non-negative matrix factorization method for detecting real attacks and the performance comparison with other computational intelligence techniques.

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Designing Light Weight Intrusion Detection Systems: Non-Negative Matrix Factorization Approach

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