Article Per Year (5 Year)
p-Index From 2021 - 2026
0
P-Index
This Author published in this journals
All Journal Indonesian Journal of Electrical Engineering and Computer Science
Liang Lei
QingDao Hotel Management College

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Network Intrusion Detection System Based on Optimized Fuzzy Rules Algorithm Liang Lei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

As computer networks and distributed applications more complex, diverse and intelligent, network behavior anomaly detection has gradually become the effective monitoring and system controlling technology. The paper established a network intrusion detection system and to investigate the data rules, sensors and abnormal behavior automatic identification in this system, a kind of algorithm based on fuzzy rules to describe the network abnormal behavior was introduced into this paper. It was used to describe the misclassification invasion rules effectively and then to convert the misclassification invasion rules to the issue of seeking optimal separating hyper plane. Subsequently, the double super ball membership function was introduced into the system to restrict the intrusion features, and to establish intrusion rule set which was used to make optimized description of the intrusion rule set and then complete intrusion detection. The experimental results showed that: in the context of different network attacks, the system can complete a variety of attacks and efficient detection. The detection error was not more than 1% which basically met the requirements of the reliable, high precision, anti-interference ability in automatic network intrusion detection and provided a reference to the future research on network intrusion detection. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4288
Co-Authors