An intelligent agent based approach for intrusion detection and prevention in adhoc networks

被引:0
|
作者
Veeraraghavan, Sampathkumar [1 ]
Bose, S. [2 ]
Anand, K. [3 ]
Kannan, A. [2 ]
机构
[1] Tata Consultancy Serv Ltd, Comp Consultancy, Madras, Tamil Nadu, India
[2] CEG, Dept Comp Sci & Engn, Madras, Tamil Nadu, India
[3] Sri SaiRam Engn Coll, Dept Comp Sci & Engn, Madras, Tamil Nadu, India
关键词
intrusion detection system; intelligent agents; forecasting adhoc network; oneR algorithm;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper describes about an intelligent agent based intrusion detection and prevention system for mobile ad hoc network. This system collects data from application layer and network layer and classifies them using the log Me data collected from these layers and local anomalies are computed using local agents finally. it is sent to a global agent for integration. The local agents monitor the two layers of the network to determine the correlation among the observed anomalous patterns, reporting such abnormal behavior to the administrator for taking possible action. Our simulation results obtained after integration shows that it is possible to obtain high intrusion-detection rates (99.2%) and low false-alarm rates.
引用
收藏
页码:534 / +
页数:2
相关论文
共 50 条
  • [1] An agent based approach for intrusion detection and prevention in mobile networks
    Veeraraghavan, Sampathkumar
    Rampa, Sankeerth
    Kannan, Anand
    Kannan
    IMECS 2007: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2007, : 561 - +
  • [2] A NONCOOPERATIVE GAME APPROACH FOR INTRUSION DETECTION IN MOBILE ADHOC NETWORKS
    Poongothai, T.
    Jayarajan, K.
    ICCN: 2008 INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION AND NETWORKING, 2008, : 51 - +
  • [3] Intrusion Detection for Adhoc Networks in IOT
    Girnar, Niharika
    Kaur, Sanmeet
    2017 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS), 2017, : 110 - 114
  • [4] Intrusion Detection in Mobile AdHoc Networks using Machine Learning Approach
    Poongothai, T.
    Duraiswamy, K.
    2014 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2014,
  • [5] AN INTRUSION DETECTION SYSTEM IN MOBILE ADHOC NETWORKS
    Madhavi, S.
    Kim, Tai Hoon
    INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS, 2008, 2 (03): : 1 - 16
  • [6] An intrusion detection system in mobile adhoc networks
    Madhavi, S.
    PROCEEDINGS OF THE SECOND INTERNATIONAL CONFERENCE ON INFORMATION SECURITY AND ASSURANCE, 2008, : 7 - 14
  • [7] A hybrid intelligent agent based intrusion detection system
    Jaisankar, N.
    Kannan, A.
    Journal of Computational Information Systems, 2011, 7 (08): : 2608 - 2615
  • [8] Secure Intrusion Detection System for Mobile Adhoc Networks
    Bharati, Taran Singh
    Kumar, R.
    2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM), 2015, : 1257 - 1261
  • [9] A Comparative Study on Intrusion Detection in Mobile Adhoc Networks
    Divya, S.
    Krishnaveni, S. H.
    PROCEEDINGS OF IEEE INTERNATIONAL CONFERENCE ON CIRCUIT, POWER AND COMPUTING TECHNOLOGIES (ICCPCT 2016), 2016,
  • [10] An improved intrusion detection technique for mobile adhoc networks
    Prasanna, S
    Vetriselvi, V
    DISTRIBUTED COMPUTING AND INTERNET TECHNOLOGY, PROCEEDINGS, 2005, 3816 : 364 - 376