A REVIEW AND COMPARISON OF VISUALIZATION TECHNIQUES FOR NETWORK INTRUSION DETECTION SYSTEM

被引：0
|
作者：
Zaki, Fakhrul Adli Mohd [1 ]
Saman, Md Yazid Mohd [1 ]
Megat, Megat Fakruddin [1 ]
机构：
[1] Univ Malaysia Terengganu, Dept Comp Sci, Kuala Terengganu, Terengganu, Malaysia
来源：
PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON INTERNET TECHNOLOGIES AND APPLICATIONS (ITA 11) | 2011年
关键词：
Network Visualization; Intrusion Detection System; Network Security;
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 research attempt to explore suitable visualization techniques to distinguish malicious traffics from massive background traffics by using visual patterns, to which the human visual perception system is sensitive and can thus processes efficiently. The result from our experimentation will show that visualizing the network traffic using the developed prototype called NVIDS in the actual network environment will give more accurate outcome and the usability of the prototype.
引用
收藏
页码：407 / 414
页数：8
相关论文
共 50 条
  • [1] Evaluation and Comparison of Classification Techniques for Network Intrusion Detection
    Giray, Sait Murat
    Polat, Aydin Goze
    2013 IEEE 13TH INTERNATIONAL CONFERENCE ON DATA MINING WORKSHOPS (ICDMW), 2013, : 335 - 342
  • [2] Review of AI Techniques in development of Network Intrusion Detection System in SDN Framework
    Dahiya, Seema
    Siwach, Vikas
    Sehrawat, Harkesh
    2021 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2021), 2021, : 168 - +
  • [3] Case study: Visualization and information retrieval techniques for network intrusion detection
    Atkison, T
    Pensy, K
    Nicholas, C
    Ebert, D
    Atkison, R
    Morris, C
    DATA VISUALIZATION 2001, 2001, : 283 - +
  • [4] Intrusion detection techniques in network environment: a systematic review
    Maruthi Rohit Ayyagari
    Nishtha Kesswani
    Munish Kumar
    Krishan Kumar
    Wireless Networks, 2021, 27 : 1269 - 1285
  • [5] Network Intrusion Detection Using Hardware Techniques: A Review
    Abdulhammed, Razan
    Faezipour, Miad
    Elleithy, Khaled M.
    2016 IEEE LONG ISLAND SYSTEMS, APPLICATIONS AND TECHNOLOGY CONFERENCE (LISAT), 2016,
  • [6] Intrusion detection techniques in network environment: a systematic review
    Ayyagari, Maruthi Rohit
    Kesswani, Nishtha
    Kumar, Munish
    Kumar, Krishan
    WIRELESS NETWORKS, 2021, 27 (02) : 1269 - 1285
  • [7] A visualization paradigm for network intrusion detection
    Livnat, Y
    Agutter, J
    Moon, S
    Erbacher, RF
    Foresti, S
    PROCEEDINGS FROM THE SIXTH ANNUAL IEEE SYSTEMS, MAN AND CYBERNETICS INFORMATION ASSURANCE WORKSHOP, 2005, : 92 - 99
  • [8] Comparison of classification techniques applied for network intrusion detection and classification
    Aziz, Amira Sayed A.
    EL-Ola Hanafi, Sanaa
    Hassanien, Aboul Ella
    JOURNAL OF APPLIED LOGIC, 2017, 24 : 109 - 118
  • [9] Network Intrusion Detection, Literature Review and Some Techniques Comparision
    Nassar, Mostafa
    El-Bahnasawy, Nirmeen A.
    Ahmed, HossamEl-din H.
    Saleeb, Adel A.
    Abd El-Samie, Fathi E.
    2019 15TH INTERNATIONAL COMPUTER ENGINEERING CONFERENCE (ICENCO 2019), 2019, : 62 - 71
  • [10] Review on Network Intrusion Detection Techniques using Machine Learning
    Shashank, K.
    Balachandra, Mamatha
    PROCEEDINGS OF 2018 IEEE DISTRIBUTED COMPUTING, VLSI, ELECTRICAL CIRCUITS AND ROBOTICS (DISCOVER), 2018, : 104 - 109
12345