Date of Award
Master of Science
Electrical and Computer Engineering
Security in computer networks has become an increasing concern with the increase in network tra±c. Signature-based Network Intrusion Detection Sys- tem(NIDS) is considered a preferable system in securing the network because of its e±cient detection capabilities. However, increasing tra±c rate and rapid increase in attack patterns in the present network requires this signature(pattern) match- ing engine to be fast, deterministic, recon¯gurable and memory-e±cient. Works like  use Deterministic Finite Automaton(DFA) to provide deterministic perfor- mance and also provide solutions to reducing the large memory requirements of this DFA. In my thesis, I have adapted this method of using a DFA and proposed a software-based pattern matching engine that provides the deterministic performance comparable to the hardware-based system along-with the portability of software. A novel state coding approach has been presented for achieving the pattern matching requirements. Also, two methods, \Split-DFA(SDFA)" and \Character Aware" are introduced to achieve e±cient state coding. The results verify the reduced memory requirement of proposed system in comparison to the memory-based DFA and also gives their performance. The deterministic performance of this system is studied for a real network scenario . This software-based pattern matching engine therefore contributes to the need of achieving a fast, programmable, portable and resource- e±cient pattern matching engine in securing the present network.
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