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Malicious node identification using quantitative intrusion detection techniques in MANET

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Abstract

Due to rapid proliferation of WSN, the application of wireless devices or nodes and usage of mobile computing devices changed the shape of network security. One of the field which need the most security is Mobile Ad hoc Network (MANET). The term ad hoc itself ensures that there is no central entity in order to govern the nodes. The issue of security is a critical problem when implementing mobile ad hoc networks (MANETs) is widely acknowledged. The traditional method of firewall and encryption is not sufficient to protect the network. Therefore an intrusion detection system must be added to the mobile ad hoc network. One of the different kinds of misbehavior a node may exhibit is selfishness. A indiscipline or selfish or node wants to protect own resources when using the services of others and consuming their resources. Malicious nodes that disobey the standard, degrades the performance of well-behaved nodes significantly. One way of preventing selfishness in a MANET is a detection and exclusion mechanism. In this paper, we de-scribe different method for detecting indiscipline or malicious nodes in mobile ad hoc network.

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Authors and Affiliations

  1. Bharath Institute of Higher Education and Research, Chennai, India

    M. Arul Selvan

  2. Department of Computer Science & Engineering, G.K.M. College of Engineering & Technology, Chennai, India

    S. Selvakumar

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  1. M. Arul Selvan
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  2. S. Selvakumar
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Correspondence to M. Arul Selvan.

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Arul Selvan, M., Selvakumar, S. Malicious node identification using quantitative intrusion detection techniques in MANET. Cluster Comput 22 (Suppl 3), 7069–7077 (2019). https://doi.org/10.1007/s10586-018-2418-2

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  • DOI: https://doi.org/10.1007/s10586-018-2418-2

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