Participatory sensing is an innovative model in mobile sensing network which allows volunteers to collect and share information from their local environment by using mobile phones. Unlike other participatory sensing application challenges which consider user privacy and data trustworthiness, we consider the network trustworthiness problem, namely, Sybil attacks, in participatory sensing. A Sybil attack is defined as a malicious illegal presentation of multiple identities, called Sybil identities.These Sybil identities will intend to spread misinformation to reduce the effectiveness of sensing data in the participatory sensing network. To cope with this problem, a cloud based trust management scheme (CbTMS) framework was proposed to detect Sybil attacks in a participatory sensing network. The CbTMS was proffered for performing Sybil attack characteristic checks, in addition to a trustworthiness management system, to verify coverage nodes in participatory sensing. Simulation studies show that the proposed CbTMS can efficiently detect numerous defined malicious Sybil nodes with lower power consumption in the network.
The Scientific World Journal 2014, 610989(9 pages)