Network Intrusion Detection by Support Vectors and Ant Colony

被引：0

作者：

Zhang, Qinglei ^{[1
]}

Feng, Wenying ^{[1
]}

机构：

[1] McMaster Univ, Fac Engn, Dept Comp & Software, Hamilton, ON L8S 4L8, Canada

来源：

PROCEEDINGS OF 2009 INTERNATIONAL WORKSHOP ON INFORMATION SECURITY AND APPLICATION | 2009年

关键词：

Network security; network attack; Intrusion Detection Systems (IDS); Support Vector Machine (SVM); Ant Colony Network;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a framework for a new approach in intrusion detection by combining two existing machine learning methods (i.e. SVM and CSOACN). The IDS based on the new algorithm can be applied as pure SVM, pure CSOACN or their combination by constructing the detection classifier under three different training modes respectively. The initial experiments indicate that performance of their combination is better than pure SVM in terms of higher average detection rate as well as lower rates of both negative and positive false and is better than pure CSOACN in terms of less training time with comparable detection rate and false alarm rates.

引用

页码：639 / 642

页数：4

共 50 条

[21] Improved Ant Colony Optimization and Machine Learning Based Ensemble Intrusion Detection Model
Vanitha, S.
Balasubramanie, P.
[J]. INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 36 (01): : 849 - 864
[22] Distributed Intrusion Detection System Using Cooperative Agent Based on Ant Colony Clustering
Abdurrazaq, Muhammad N.
Bambang, Riyanto T.
Rahardjo, Budi
[J]. 2014 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND COMPUTER SCIENCE (ICEECS), 2014, : 109 - 114
[23] Clustering based on self-organizing ant colony networks with application to intrusion detection
Feng, Yong
Zhong, Jiang
Ye, Chun-xiao
Wu, Zhong-fu
[J]. ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 2, 2006, : 1077 - +
[24] An Enhanced Associative Ant Colony Optimization Technique-based Intrusion Detection System
Gupta, Chetan
Sinhal, Amit
Kamble, Rachana
[J]. ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 2, 2015, 325 : 541 - 553
[25] Multi-agent intrusion detection system in industrial network using ant colony clustering approach and unsupervised feature extraction
Tsang, Chi-Ho
Kwong, Sam
[J]. 2005 IEEE International Conference on Industrial Technology - (ICIT), Vols 1 and 2, 2005, : 115 - 120
[26] An architecture for network stream splitting in support of intrusion detection
Judd, JD
McEachen, JC
[J]. ICICS-PCM 2003, VOLS 1-3, PROCEEDINGS, 2003, : 1717 - 1721
[27] Automated software design using ant colony optimization with semantic network support
Tawosi, Vali
Jalili, Saeed
Hasheminejad, Seyed Mohammad Hossein
[J]. JOURNAL OF SYSTEMS AND SOFTWARE, 2015, 109 : 1 - 17
[28] Efficient hardware support for pattern matching in network intrusion detection
Guinde, Nitesh B.
Ziavras, Sotirios G.
[J]. COMPUTERS & SECURITY, 2010, 29 (07) : 756 - 769
[29] Application of Support Vector Clustering algorithm to network intrusion detection
Xu, BG
Zhang, A
[J]. PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3, 2005, : 1036 - 1040
[30] Network-based intrusion detection with support vector machines
Kim, DS
Park, JS
[J]. INFORMATION NETWORKING: NETWORKING TECHNOLOGIES FOR ENHANCED INTERNET SERVICES, 2003, 2662 : 747 - 756

← 1 2 3 4 5 →