Agent-based Trusted Querying Framework for Wireless Sensor Networks

Corresponding to the increasing trends of using sensor network for the daily operations in both commercial and defense sectors, designing an efficient query processing mechanism for wireless sensor networks has also been paid attentions. While recent research efforts on database based query processing approach dramatically improves the efficiency of query processing, another critical component, security, is still missing. In reality, the sensor networks are expected to be deployed in various hostile environments, for example, battlefield, and these unattended wireless sensors are faced with a variety of risks and can easily be hijacked or compromised. Intelligent Automation, Inc. (IAI) proposes a novel Agent-based Trusted Querying Framework (ATQF). The intent of this work is to incorporate theories of trust from social networks into sensor networks in order to provide a trusted query processing infrastructure that returns the highest-fidelity response to the end-nodes of a sensor network. One significant difference between the proposed approach and traditional reputation-based trust models is that the trustworthiness is not only evaluated from the Reputation, but also takes the Risk into account. We will show that adding the Risk value into the trust management model make the scheme more efficient and accurate.