A Network Intrusion Detection System with Improved SBOM Algorithm

2013 ◽  
Vol 336-338 ◽  
pp. 2419-2422
Author(s):  
Li Hua Zhou
Keyword(s):  
Intrusion Detection ◽  
Pattern Matching ◽  
Intrusion Detection System ◽  
Detection System ◽  
Network Intrusion Detection ◽  
Data Sets ◽  
Matching Algorithm ◽  
Network Intrusion ◽  
Network Intrusion Detection System ◽  
Detection Evaluation

The efficiency of pattern matching algorithm used in detection engine decides the performance of intrusion detection system. This paper improves the data structure of SBOM Algorithm, which is well-known keyword matching algorithm, by adding or removing keywords dynamically. The results of experiments on 1999 DARPA intrusion Detection Evaluation Data Sets indicate that the implemented NIDS(Network Intrusion Detection System) is comparatively excellent for large keyword sets.

scholarly journals A Multi-Fusion Pattern Matching Algorithm for Signature-Based Network Intrusion Detection System

2016 ◽  
Author(s):  
Manohar Naik S ◽  
Geethanjali N
Keyword(s):  
Intrusion Detection ◽  
Pattern Matching ◽  
Detection System ◽  
Intrusion Detection Systems ◽  
Network Intrusion Detection ◽  
Matching Algorithm ◽  
Detection Systems ◽  
Network Intrusion ◽  
Network Intrusion Detection Systems ◽  
Pattern Matching Algorithm

Security has become a critical issue in today’s highly distributed and networked systems. Network intrusion detection systems (NIDSs), especially signature-based NIDSs, are being widely deployed in a distributed network environment with the purpose of defending against a variety of network attacks. Most of the commercially available NIDSs are software based and rely on pattern matching to extract the threat from network traffic. The increase in network speed and traffic may make existing algorithms to become a performance bottleneck. Therefore it is very necessary to develop faster and more efficient pattern matching algorithm in order to overcome the troubles on performance of NIDSs. Therefore, we propose a multi fusion pattern matching algorithm for Network Intrusion Detection Systems. The results obtained in percentages from the proposed fusion algorithm given better values in terms processing time in milliseconds than the existing algorithms when data English text are applied to evaluate the fusion performances.

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