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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

ISSN: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

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  Published Paper Details:

  Paper Title        

TRUST EVALUATION ALGORITHM (TEA) TO IDENTIFY MALICIOUS NODE IN MANET

  Authors

L Raghavendar Raju

  Keywords

MANETs, QoS Trust, TRUST, Cluster Head

  Abstract


MANET is less resistant to malicious node more prone to selfish behavior of nodes and compromised nodes which are most often undetectable. Due to resource constraints and high mobility characteristics. In a clustered network one of the cluster member is chosen as a cluster head. But if the selected node becomes selfish or malicious, it will affect the performance of the entire group communication. This paper proposes a Trust Evaluation Algorithm (TEA) to identify the nodes with highest level of trust within the cluster. The nodes are added to the trust table based on the calculated trust level. The friends having highest trust level is eligible to become cluster heads. Among the available cluster heads, one among them is selected as the cluster head.other nodes are considered as a cluster members. The nodes with least trust values are regarded as malicious and are removed from the list and are stored in a noticeable unwanted record. Our TEA approach succeeds in achieving high resistance towards network attacks.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTNTSE020

  Paper ID - 181733

  Page Number(s) - 95-98

  Pubished in - Volume 6 | Issue 1 | February 2018

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

L Raghavendar Raju,   "TRUST EVALUATION ALGORITHM (TEA) TO IDENTIFY MALICIOUS NODE IN MANET", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.6, Issue 1, pp.95-98, February 2018, Available at :http://www.ijcrt.org/papers/IJCRTNTSE020.pdf

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ISSN and 7.97 Impact Factor Details
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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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