IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v2y2017i7idhcseit174419.html

The Intrusion Detection System for MANETS

Author

Listed:
  • Insha Majeed
  • Sakshi Arora

Abstract

Mobile Ad Hoc Networks (MANETs) are very important and unique application as they do not require a fixed network infrastructure and move over both works of transmitter and receiver are done by single node. Nodes are able to communicate directly with each other or though their neighbours to relay messages. MANETs can be envisioned for military and emergency communication due to the capability of cooperative routing but are also more vulnerable to routing attacks than wired networks. Thus it is imperative to develop efficient intrusion detection mechanisms to protect MANETs. To detect new routing attacks in MANETs we have applied specification based intrusion detection approach that defines normal behaviour to the protected networks. In this paper, we propose a complete distributed intrusion detection system that consist of four models MATEs which formal reasoning and simulation experiments for evaluation. Optimal Links State Routing (OLSR) is representatives of a proactive, link-state routing protocol of MANETs, and the Ad Hoc On Demand routing Vector (AODV) is the other popular, reactive request-on demand routing protocol. Both OLSR and AODC have IETF RECs.

Suggested Citation

  • Insha Majeed & Sakshi Arora, 2017. "The Intrusion Detection System for MANETS," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(7), pages 142-156, September.
  • Handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174419
    Note: Article URL: https://ijsrcseit.com/CSEIT174419
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/CSEIT174419
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/paper/CSEIT174419.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174419. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.