Trusted Neighbors Based Secured Routing Scheme in Wireless Sensor Networks Using Agents

• Published in: Wireless personal communications Vol. 78; no. 1; pp. 1 - 28
• Main Authors: Devanagavi, Geetha D., Nalini, N., Biradar, Rajashekhar C.
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.09.2014; Springer
• Subjects: Applied sciences; Authentication; Channels; Communications Engineering; Computer Communication Networks; Computer networks; Computer science; control theory; systems; Computer systems and distributed systems. User interface; Cryptography; Engineering; Exact sciences and technology; Information, signal and communications theory; Memory and file management (including protection and security); Memory organisation. Data processing; Networks; Packets (communication); Radiocommunications; Remote sensors; Routing (telecommunications); Signal and communications theory; Signal,Image and Speech Processing; Software; Telecommunications; Telecommunications and information theory; Trustworthiness; Wireless networks; Wireless sensor network; Message authentication code; Software agents; Secured routing; Trusted neighbors; Trust model; Energy consumption; Modeling; Delay; Biomimetics; Confidence; Mobile agent; Swarm intelligence; Cryptography; Localization; Oracle; Computer security; Ant colony optimization; Probabilistic approach; Routing; Knowledge base; Maintenance; Intelligent agent; Multiagent system; Data integrity; Confidentiality; Storage management; Authentication; Wireless network; Sensor array; Artificial intelligence; Data gathering
• ISSN: 0929-6212; 1572-834X
• DOI: 10.1007/s11277-014-1704-4

In Wireless Sensor Network (WSN) applications, nodes are deployed in public domains that are prone to be attacked by various types of attacks wherein the data confidentiality, integrity and authentication are compromised. In this paper, we propose Agent based SEcured Routing using Trusted neighbors (ASERT) in WSN. ASERT selects trustworthy neighbors and establishes secured routes using software agents. ASERT operates in following phases. (1) Defining Safeguard Agency (SA) and Routing Agency (RA), both consisting of static and mobile agents and a knowledge base. (2) Identification of trustworthy neighbor nodes by SA with trust model that consists of probability and Message Authentication Codes (MAC) model. (3) Probability model estimates the trustworthy channel and trustworthy nodes whereas MAC model ensures them. (4) MAC’s are dynamically computed by agents by generating the keys with the help of Random Oracle Extractor (ROE). (5) RA establishes secured routes from source to the sink node using agents. (6) Agents effectively identify possible security threats on wireless channel and node. (7) An improvement in packet delivery ratio, packet delivery latency, route maintenance overhead, memory overhead and energy consumption is achieved in ASERT as compared to two protocols, namely, Bio-inspired Trust and Reputation model in WSN (BTRM-WSN) using ant colony based approach and Ambient Trust Sensor Routing that uses trust combined with location information for routing.