Secure Data Transmission in Wireless Sensor Networks with Secure System for Identification of Trusted Route with Node Behavior Analysis

The Wireless Sensor Network (WSN) is a novel and demanding technology that requires little processing and computational capabilities. In the WSN, security is a serious issue. Because of its wireless nature, it is vulnerable to a wide range of assaults and data packet loss. Secure routing is critical...

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Bibliographic Details
Main Authors: Das, S.K (Author), Sahu, M. (Author), Sethi, N. (Author)
Format: Article
Language:English
Published: International Information and Engineering Technology Association 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02012nam a2200229Ia 4500
001 10.18280-RIA.360213
008 220718s2022 CNT 000 0 und d
020 |a 0992499X (ISSN) 
245 1 0 |a Secure Data Transmission in Wireless Sensor Networks with Secure System for Identification of Trusted Route with Node Behavior Analysis 
260 0 |b International Information and Engineering Technology Association  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.18280/RIA.360213 
520 3 |a The Wireless Sensor Network (WSN) is a novel and demanding technology that requires little processing and computational capabilities. In the WSN, security is a serious issue. Because of its wireless nature, it is vulnerable to a wide range of assaults and data packet loss. Secure routing is critical to avoid problems like this. When it comes to data delivery to other nodes, routing is one of the most important WSN method to provide security to the network. Based on the expected trust value, the routing process's trust mechanism prevents/includes nodes in routing. This research examines security objectives for routing the sensor networks and presents an Extreme Trust Factor for Route Identification with Prime Node (ETFRI-PN). The Prime Node (PN) examines each node's behavior throughout the delivery process, as well as computers' ability to detect malicious assaults, and assigns a trust factor to each node involved in data transmission along with Alphanumeric Inimitable Label (AIL) for every node. The proposed model is in contrast to previous models, and the results show that the proposed model outperforms traditional models. © 2022 Lavoisier. All rights reserved. 
650 0 4 |a data transmission 
650 0 4 |a node behavior 
650 0 4 |a prime node 
650 0 4 |a routing 
650 0 4 |a security 
650 0 4 |a trust factor 
700 1 |a Das, S.K.  |e author 
700 1 |a Sahu, M.  |e author 
700 1 |a Sethi, N.  |e author 
773 |t Revue d'Intelligence Artificielle  |x 0992499X (ISSN)  |g 36 2, 289-295