Research on the Application of User Behavior Auditing Based on Hidden Markov Model in Cloud Environment

被引:0
|
作者
Zhang, Kejun [1 ]
Jiang, Chen [1 ]
Yang, Yunsong [1 ]
Wang, Yu [1 ]
Zhang, Guoliang [2 ]
机构
[1] Beijing Elect Sci & Technol Inst, Dept Comp Sci & Technol, Beijing, Peoples R China
[2] Xidian Univ, Sch Comp Sci & Technol, Xian, Peoples R China
关键词
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, cloud environment security issues, cloud storage environment as the research object, focusing on the audit mechanism of user behavior in cloud environment. According to the security features of cluster data in cloud storage environment, a user behavior auditing model is proposed, and the data acquisition and preprocessing of user behavior audit are studied. This paper analyzes the source of the user behavior audit analysis data. In the process of audit data analysis and processing, a feature vector method is proposed to extract valuable information from audit data. A user behavior modeling method based on Hidden Markov model is proposed in this paper, the user behavior model is used to identify the validity of the user's operation, and to ensure the security of the data of the cloud platform.
引用
收藏
页码:125 / 129
页数:5
相关论文
共 50 条
  • [1] Network User Behavior Authentication Based on Hidden Markov Model
    Wu, Zenan
    Tian, Liqin
    Wang, Zhigang
    Wang, Yan
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND SOFTWARE ENGINEERING (ICICSE 2021), 2021, : 76 - 82
  • [2] An Assessment Method of Internet of Vehicles User Behavior Based on Hidden Markov Model
    Xie, Peng-Shou
    Wang, Yi-Fan
    Wang, Zong-Liang
    Li, Nan-Nan
    Feng, Tao
    Yan, Yan
    [J]. International Journal of Network Security, 2022, 24 (03): : 493 - 500
  • [3] Analytical method of web user behavior using Hidden Markov Model
    Kawazu, Hirotaka
    Toriumi, Fujio
    Takano, Masanori
    Wada, Kazuya
    Eukuda, Ichiro
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), 2016, : 2518 - 2524
  • [4] User's interests navigation model based on hidden Markov model
    Shi, J
    Shi, F
    Qiu, HP
    [J]. ROUGH SETS, FUZZY SETS, DATA MINING, AND GRANULAR COMPUTING, 2003, 2639 : 644 - 647
  • [5] User's Interests Navigation Model Based on Hidden Markov Model
    Jiao Wei-wei
    [J]. EPLWW3S 2011: 2011 INTERNATIONAL CONFERENCE ON ECOLOGICAL PROTECTION OF LAKES-WETLANDS-WATERSHED AND APPLICATION OF 3S TECHNOLOGY, VOL 1, 2011, : 101 - 104
  • [6] The Research of User Satisfaction Model in Hybrid Cloud Environment
    Li Hao
    Huang Shaowei
    Zhang Jianhong
    [J]. RECENT DEVELOPMENTS IN INTELLIGENT SYSTEMS AND INTERACTIVE APPLICATIONS (IISA2016), 2017, 541 : 174 - 181
  • [7] Radio Environment Map Construction Using Hidden Markov Model in Multiple Primary User Environment
    Ichikawa, Koji
    Fujii, Takeo
    [J]. 2017 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC), 2016, : 272 - 276
  • [8] Mobile Application Identification based on Hidden Markov Model
    Yang, Xinyan
    Yi, Yunhui
    Xiao, Xinguang
    Meng, Yanhong
    [J]. 4TH ANNUAL INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATION AND SENSOR NETWORK (WCSN 2017), 2018, 17
  • [9] How Is Mobile User Behavior Different?-A Hidden Markov Model of Cross-Mobile Application Usage Dynamics
    Wu, Shaohui
    Tan, Yong
    Chen, Yubo
    Liang, Yitian
    [J]. INFORMATION SYSTEMS RESEARCH, 2022, 33 (03) : 1002 - 1022
  • [10] Hidden Markov Model Based User Mobility Analysis in LTE Network
    Lv, Qiujian
    Mei, Zongshan
    Qiao, Yuanyuan
    Zhong, Yufei
    Lei, Zhenming
    [J]. 2014 INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC), 2014, : 379 - 384