Trust and Reputation based approaches in Wireless sensor networks

In the wireless sensor network, if a sensor wants to communicate with another node that is far away from the node, it relies on the intermediate node to relay the packets. There is a high probability for these intermediate nodes to be malicious. Therefore, the development of trust and reputation systems becomes necessary to find out the trusted intermediate node to forward the packet. Trust represents a node’s belief in the trust qualities of a peer, whereas reputation is the knowledge that peers have about other nodes in the network. There are several trust and reputation based schemes were suggested for WSN to ensure secure routing. The recommendation is an effective approach used to calculate the trust and reputation value. The application of trust management includes authentication, various aspects of communications like secure routing, intrusion detection key management, and data access control. Trust establishment, trust update, and trust revocation are the three major components of trust management system. Payment system rewards the nodes that forward other’s packets and charges those that send packets. The trust system estimates the node’s genuineness in forwarding packets in terms of multi-dimensional trust values.

Problem

In wireless sensor network (WSNs), trust, decision-making process, aggregates feedback, trust information without considering the problem of malicious feedback.

Solution

LDTS ensures a lightweight trust evaluating scheme for cooperations between Cluster Members (CMs) or between Cluster Heads (CHs) and assists in prevention of malicious activity. It enforces a dependability-enhanced trust evaluating approach for co-operations between CHs and self-adaptive weighting method for CH’s trust aggregation.

Solution In NS2

  • In NS2, each node is assigned a trust variable. Most commonly used trust value lies between 0 and 1.

  • Trust value is assigned based on the behavior of the node. The behavior of the node is observed by the neighbor node based on the packet forwarding rate of each node in the routing.

  • Packet drop and no active participation in packet forwarding reduce the trust of the node.

  • Reduced trust value nodes are not selected as routers in packet forwarding.

  • In LDTS, trust is evaluated in inter cluster and intra cluster manner.

  • Trust based routing provides a considerable amount of performance efficiency in terms of the packet delivery ratio, throughput, end to end delay and packet loss when compared routing without trust.

Related Titles:

  • Xiaoyong Li, Feng Zhou, and Junping Du “LDTS: A Lightweight and Dependable Trust System for Clustered Wireless Sensor Networks” IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 8, NO. 6, JUNE 2013.