Intrusion detection method based on hierarchical hidden Markov model and variable-length semantic pattern

被引：0
|
作者：
Duan, Xue-Tao [1 ]
Jia, Chun-Fu [1 ,2 ]
Liu, Chun-Bo [1 ]
机构：
[1] College of Information Technological Science, Nankai University, Tianjin 300071, China
[2] National Computer Virus Emergency Response Center, Tianjin 300457, China
来源：
Tongxin Xuebao/Journal on Communications | 2010年 / 31卷 / 03期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：109 / 114
相关论文
共 50 条
  • [31] Variable-Length Protein Sequence Motif Extraction Using Hierarchically-Clustered Hidden Markov Models
    Hudson, Cody
    Chen, Bernard
    2013 12TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2013), VOL 1, 2013, : 173 - 178
  • [32] A Fusional Intrusion Detection Method Based on the Hierarchical Filtering and Progressive Detection Model
    Gao, Xueqin
    Wu, Qian
    Cai, Junhui
    Li, Qifeng
    IEEE ACCESS, 2023, 11 : 131409 - 131417
  • [33] UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering
    Zhang, Fuzhi
    Zhang, Zening
    Zhang, Peng
    Wang, Shilei
    KNOWLEDGE-BASED SYSTEMS, 2018, 148 : 146 - 166
  • [34] Variable Length Pattern Matching for Hardware Network Intrusion Detection System
    Xue, Chun Jason
    Liu, Meilin
    Zhuge, QingFeng
    Sha, Edwin Hsing-Mean
    JOURNAL OF SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 2010, 59 (01): : 85 - 93
  • [35] Intrusion Detection System using Bayesian Network and Hidden Markov Model
    Devarakonda, Nagaraju
    Pamidi, Srinivasulu
    Kumari, Valli V.
    Govardhan, A.
    2ND INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION, CONTROL AND INFORMATION TECHNOLOGY (C3IT-2012), 2012, 4 : 506 - 514
  • [36] Learning profiles based on hierarchical hidden Markov model
    Galassi, U
    Giordana, A
    Saitta, L
    Botta, M
    FOUNDATIONS OF INTELLIGENT SYSTEMS, PROCEEDINGS, 2005, 3488 : 47 - 55
  • [37] Variable Length Pattern Matching for Hardware Network Intrusion Detection System
    Chun Jason Xue
    Meilin Liu
    QingFeng Zhuge
    Edwin Hsing-Mean Sha
    Journal of Signal Processing Systems, 2010, 59 : 85 - 93
  • [38] A Fall Detection Method Based on Acceleration Data and Hidden Markov Model
    Cao, Huiqiang
    Wu, Shuicai
    Zhou, Zhuhuang
    Lin, Chung-Chih
    Yang, Chih-Yu
    Lee, Shih-Tseng
    Wu, Chieh-Tsai
    2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL AND IMAGE PROCESSING (ICSIP), 2016, : 684 - 689
  • [39] A protocol anomaly detection method based on optimized hidden Markov model
    Qiu Wei
    Yang Yingjie
    Wang Yongwei
    Chang Dexian
    Liu Jiang
    Hu Hao
    PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON MECHATRONICS, MATERIALS, CHEMISTRY AND COMPUTER ENGINEERING 2015 (ICMMCCE 2015), 2015, 39 : 1649 - 1657
  • [40] A Simple and Efficient Hidden Markov Model Scheme for Host-Based Anomaly Intrusion Detection
    Hu, Jiankun
    Yu, Xinghuo
    Qiu, D.
    Chen, Hsiao-Hwa
    IEEE NETWORK, 2009, 23 (01): : 42 - 47
12345