STUDY ON NETWORK INTRUSION DETECTION BASED ON IMPROVED APRIORI ALGORITHM

被引：0
|
作者：
Yang, Nini [1 ]
机构：
[1] Liaoning Shihua Univ, Fushun 113001, Peoples R China
来源：
INTERNATIONAL SYMPOSIUM ON COMPUTER SCIENCE & TECHNOLOGY, PROCEEDINGS | 2009年
关键词：
Intrusion Detection; Association Ruel; Apriori; Frequent Item-sets; Data Mining;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Association rule mining can effectively improve the performance of intrusion detection system, and generating frequent item-sets is a critical step in association rule mining. Through the research on Apriori algorithm, I propose an algorithm based on set and bit operation for mining frequent item-sets, and use digital view to express the transaction which used each item, use bit operating in digital view to calculate the number of the support of each item-set, and then avoid the problem of repeatedly scanning the database in Apriori algorithm. Experiments show that the algorithm has good performance in network intrusion detection.
引用
收藏
页码：372 / 374
页数：3
相关论文
共 50 条
  • [31] Research on Improved Apriori Algorithm based on MapReduce and HBase
    Feng, Dongyu
    Zhu, Ligu
    Zhang, Lei
    PROCEEDINGS OF 2016 IEEE ADVANCED INFORMATION MANAGEMENT, COMMUNICATES, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IMCEC 2016), 2016, : 887 - 891
  • [32] Intrusion Detection Method Based on Improved Neural Network
    Tang Hai-he
    2018 INTERNATIONAL CONFERENCE ON SMART GRID AND ELECTRICAL AUTOMATION (ICSGEA), 2018, : 151 - 154
  • [33] An Improved Intrusion Detection System Based on Neural Network
    Han, Xiao
    2009 IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INTELLIGENT SYSTEMS, PROCEEDINGS, VOL 1, 2009, : 887 - 890
  • [34] Network Intrusion Detection Based BSO and Improved RELM
    Wang Z.-D.
    Liu Y.-D.
    Yang S.-X.
    Wang J.-L.
    Li D.-H.
    Zidonghua Xuebao/Acta Automatica Sinica, 2022, 48 (12): : 3024 - 3041
  • [35] The study on network intrusion detection technology based on improved principal component analysis
    Lu, Y.-T., 2013, Asian Network for Scientific Information (13) : 5099 - 5105
  • [36] Quantum Evolutionary Algorithm Based Network Intrusion Detection
    Yin, Xiangdong
    ICCSIT 2010 - 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 4, 2010, : 683 - 685
  • [37] A Network Intrusion Detection Algorithm Based on FSA Model
    Wu, Fei
    Wu, Donghui
    Yang, Yingen
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY, 2016, 60 : 615 - 621
  • [38] An Improved Kernel Clustering Algorithm Used in Computer Network Intrusion Detection
    He, Di
    Chen, Xin
    Zou, Danping
    Pei, Ling
    Jiang, Lingge
    2018 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2018,
  • [39] An Improved Dynamic Clonal Selection Algorithm using in Network Intrusion Detection
    Ma, Li
    Qu, Jingjing
    Chen, Yan
    Wei, Shiwei
    2018 14TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY (CIS), 2018, : 250 - 253
  • [40] AdaBoost-based algorithm for network intrusion detection
    Hu, Weiming
    Hu, Wei
    Maybank, Steve
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2008, 38 (02): : 577 - 583
12345