A Variation of Layered STRIFA Pattern Matching for Intrusion Detection
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 3
Abstract
[sub][/sub]Abstract: Intrusion Detection System (IDS) is an effective security tool that helps to prevent unauthorized access to network resources by analyzing the network traffic and classifying the records as either normal or anomalous. Developing rules manually through incorporation of attack signatures are used in the detection of attacks. Finite State Automata (FSA) are used by many network processing applications to match complex sets of regular expressions in network packets. In order to make FSA-based matching possible even at the ever increasing speed of modern networks, multistriding has been introduced. Stride finite automata (StriFA) a new family of finite automata, is to accelerate both string matching and regular expression matching with reduced memory consumption. To increase the efficiency of StriFA, a layered approach of attack detection by using KDD 99 DARPAdataset is integrated with StriFA. We have converted symbolic named attributes with integer values in the dataset. This increases the accuracy rate and greatly reduces the error rate
Authors and Affiliations
T. S. Urmila , Dr. R. Balasubramanian
Keywords
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