A novel method of intrusion detection based on artificial immune system

被引：0
|
作者：
Zhang, Yu-Fang [1 ]
Sun, Gui-Hua [1 ]
Xiong, Zhong-Yang [1 ]
机构：
[1] Chongqing Univ, Coll Comp, Chongqing 400044, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7 | 2006年
关键词：
antigen-antibody; constraint-based detectors; any-r intervals matching rule; self-pattern class;
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 novel method of intrusion detection based on artificial immune system. Adopting the constraint-based detectors and any-r intervals matching rule, a novel solution is presented to encode the antibody-antigen. Some immune related concepts are introduced. In order to accelerate the accessing of the normal IP packets, the self-pattern class is proposed. Using the data sets of KDD CUP1999, the experiment results show that the proposed method can achieve a faster running speed band better detecting rates. It also can adapt to dynamically changing environments.
引用
收藏
页码：1602 / +
页数：2
相关论文
共 50 条
  • [31] Network Intrusion Detection System Using Artificial Immune System (AIS)
    Suliman, Saiful Izwan
    Abd Shukor, Muhammad Safwan
    Kassim, Murizah
    Mohamad, Roslina
    Shahbudin, Shahrani
    PROCEEDINGS OF 2018 3RD INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATION SYSTEMS (ICCCS), 2018, : 178 - 182
  • [32] Using Artificial Immune System on Implementation of Intrusion Detection Systems
    EshghiShargh, Aref
    2009 THIRD UKSIM EUROPEAN SYMPOSIUM ON COMPUTER MODELING AND SIMULATION (EMS 2009), 2009, : 164 - 168
  • [33] Network Intrusion Detection System and Its Cognitive Ability based on Artificial Immune Model
    Huang, Xuepeng
    Lin, Jianhui
    Proceedings of the 2016 International Conference on Engineering and Technology Innovations, 2016, 43 : 42 - 47
  • [34] Hybrid Model based on Artificial Immune System and PCA Neural Networks for Intrusion Detection
    Zhou, Yu-Ping
    2009 ASIA-PACIFIC CONFERENCE ON INFORMATION PROCESSING (APCIP 2009), VOL 1, PROCEEDINGS, 2009, : 21 - 24
  • [35] Network Intrusion Detection System and Its Cognitive Ability based on Artificial Immune Model
    Wang Linjing
    Zhang Han
    PROCEEDINGS OF THE 2015 3RD INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND INFORMATION TECHNOLOGY APPLICATIONS, 2015, 35 : 230 - 235
  • [36] The Intrusion Detection Model of Multi-dimension Data Based on Artificial Immune System
    Wang, Weikai
    Ren, Lihong
    Ding, Yongsheng
    THEORY, METHODOLOGY, TOOLS AND APPLICATIONS FOR MODELING AND SIMULATION OF COMPLEX SYSTEMS, PT IV, 2016, 646 : 149 - 160
  • [37] Integrating innate immune concepts in the design of an artificial immune system-based network intrusion detection
    Rimiru, Richard Maina
    Tan, Guanzheng
    Njuki, Samson Njau
    International Journal of Digital Content Technology and its Applications, 2012, 6 (02) : 162 - 171
  • [38] A Novel Surface Defect Detection Method of Cold Rolled Strips based on Artificial Immune System
    Wu, Guifang
    Sun, Xiuming
    Pu, Jiexin
    Zhang, Haitao
    2014 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION (ICIA), 2014, : 279 - 283
  • [39] Intrusion Detection based on ART and Artificial Immune Network Clustering
    Liu, F
    Bai, L
    Jiao, LC
    ADVANCES IN NATURAL COMPUTATION, PT 2, PROCEEDINGS, 2005, 3611 : 780 - 783
  • [40] Artificial Immune System Inspired Intrusion Detection System Using Genetic Algorithm
    Aziz, Amira Sayed A.
    Salama, Mostafa A.
    Hassanien, Aboul Ella
    Hanafi, Sanaa El-Ola
    INFORMATICA-JOURNAL OF COMPUTING AND INFORMATICS, 2012, 36 (04): : 347 - 357
12345