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