• DocumentCode
    1884342
  • Title

    IMMIX-intrusion detection and prevention system

  • Author

    Vasudeo, Sarode Harshal ; Patil, Pravin ; Kumar, R. Vinoth

  • Author_Institution
    M. Tech. Wireless & Network Security, Center for Dev. of Adv. Comput., Pune, India
  • fYear
    2015
  • fDate
    6-8 May 2015
  • Firstpage
    96
  • Lastpage
    101
  • Abstract
    Computer security has become a major problem in our society. Specifically, computer network security is concerned with preventing the intrusion of an unauthorized person into a network of computers. An intrusion detection system (IDS) is a tool to monitor the network traffic and users activity with the aim of distinguishing between hostile and non-hostile traffic. Most of current networks implement Misuse detection or Anomaly detection techniques for Intrusion detection. By deploying misuse based IDS it cannot detect unknown intrusions and anomaly based IDS have high false positive rate for detection. To overcome this, proposed system uses combination of both network based and host based IDPS as Hybrid Intrusion Detection and Prevention System which will be helpful for detecting maximum attacks on networks.
  • Keywords
    computer network security; telecommunication traffic; IDS; IMMIX-intrusion detection system; IMMIX-intrusion prevention system; anomaly detection; computer network security; misuse detection; non-hostile traffic; Classification algorithms; Clustering algorithms; Computers; Intrusion detection; Machine learning algorithms; Monitoring; anomaly based; attacks; classification; intrusion detection; intrusion prevention; misuse based;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM), 2015 International Conference on
  • Conference_Location
    Chennai
  • Print_ISBN
    978-1-4799-9854-8
  • Type

    conf

  • DOI
    10.1109/ICSTM.2015.7225396
  • Filename
    7225396