Security Improvisation through Node Trust Prediction Approach in Mobile Ad Hoc Networks

Dublin Core

Title

Security Improvisation through Node Trust Prediction Approach in Mobile Ad Hoc Networks

Subject

Trust Computation
Node Trust Prediction
MANET

Description

 Identifying trusted nodes for safe communication is a key challenge in mobile ad-hoc networks. Node compromises a service and leads to uncertainty in node behaviour. Computing the node trust and node management will enhance the security aspect in MANETs. This paper proposes a security improvisation based on a Node Trust Prediction Approach (NTPA).  NTPA aims to prevent the interference of an  anomalous node in a MANET. There by  improving the security and data delivery output. The NTPA calculates the node trust prediction by evaluating the four most frequent actions that are performed by a node in the communication process. Node authorization is a key aspect in the evaluation of an ad hoc network’s security. In the proposed method, we monitor the valid and Invalid Authorization of a node. Data delivery reliability is measured with Success of Packet delivery and Loss or Drop of packets. In this paper, NTPA is compared with SAR(Security-Aware Routing) and AODV (Adhoc on-Demand Distance Vector), to evaluate the efficiency in an adhoc networks. The empirical results shows that there is an increase of 25% packet delivery and  a 40% reduction in  routing overhead. � 

Creator

Raghavendar Raju, L
Reddy, C R K

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 13 No. 09 (2019); pp. 40-51
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2019-09-05

Rights

Copyright (c) 2019 L Raghavendar Raju

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Raghavendar Raju, L and C Reddy R K, Security Improvisation through Node Trust Prediction Approach in Mobile Ad Hoc Networks, International Association of Online Engineering (IAOE), Vienna, Austria, 2019, accessed November 8, 2024, https://igi.indrastra.com/items/show/1368

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