Research on Intelligent Detection of Intrusion Data in Network

被引：0
|
作者：
Zhu, Guangjie [1 ]
Yao, Honglei [1 ]
机构：
[1] China Acad Railway Sci Corp Ltd, Inst Comp Technol, Beijing, Peoples R China
来源：
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年
关键词：
Network Security; Computation Consumption; Data Mining; Machine Learning;
D O I：
10.1109/CAC51589.2020.9326803
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The typical algorithms in machine learning and data mining are described and compared based on the advantages from individual algorithm including computation consumption and computation capacities. Based on the research on the novel academic paper, the problems to be solved are analyzed in network security. Besides, some suggestions are provided to adapt to specific scenarios.
引用
收藏
页码：5 / 10
页数：6
相关论文
共 50 条
  • [31] Design of intrusion detection system for intelligent mobile network teaching
    Xu, Bo
    COMPUTERS & ELECTRICAL ENGINEERING, 2023, 112
  • [32] NIDD: an intelligent network intrusion detection model for nursing homes
    Feng Zhou
    Xin Du
    Wenli Li
    Zhihui Lu
    Jie Wu
    Journal of Cloud Computing, 11
  • [33] A Novel Intelligent Ensemble Classifier for Network Intrusion Detection System
    Jabbar, M. A.
    Srinivas, K.
    Reddy, S. Sai Satyanarayana
    PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016), 2018, 614 : 490 - 497
  • [34] An Intelligent Intrusion Detection System for Smart Consumer Electronics Network
    Javeed, Danish
    Saeed, Muhammad Shahid
    Ahmad, Ijaz
    Kumar, Prabhat
    Jolfaei, Alireza
    Tahir, Muhammad
    IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2023, 69 (04) : 906 - 913
  • [35] Distributed Intrusion Detection with Intelligent Network Interfaces for Future Networks
    Luo, Yan
    Xiang, Ke
    Fan, Jie
    Zhang, Chunhui
    2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, VOLS 1-8, 2009, : 2151 - +
  • [36] Intelligent network intrusion detection using alternating decision trees
    Jabbar, M. A.
    Samreen, Shirina
    2016 INTERNATIONAL CONFERENCE ON CIRCUITS, CONTROLS, COMMUNICATIONS AND COMPUTING (I4C), 2016,
  • [37] Hybrid computational intelligent methods incorporating into network intrusion detection
    Qu, Hongchun
    Jian, Shuang
    Tang, Xiaoming
    Wang, Ping
    Journal of Computational and Theoretical Nanoscience, 2015, 12 (12) : 5492 - 5496
  • [38] NIDD: an intelligent network intrusion detection model for nursing homes
    Zhou, Feng
    Du, Xin
    Li, Wenli
    Lu, Zhihui
    Wu, Jie
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2022, 11 (01):
  • [39] Research on Computer Network Intrusion Detection System
    Xia, Yong
    Lai, Min
    PROCEEDINGS OF THE 2016 6TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS, ENVIRONMENT, BIOTECHNOLOGY AND COMPUTER (MMEBC), 2016, 88 : 165 - 168
  • [40] DOMAIN-Based Intelligent Network Intrusion Detection System
    Jose, Nithil
    Govindarajan, J.
    INVENTIVE COMPUTATION AND INFORMATION TECHNOLOGIES, ICICIT 2021, 2022, 336 : 449 - 462
12345