Research On Source Location Privacy Preservation In Wireless Sensor Networks

Nowadays, wireless sensor networks (WSNs) have been widely used in tracking and monitoring system due to the characteristics of low data rate, low power consumption and short range communication. It provides a convenient way for people to monitor and control the physical world. Because of WSNs using wireless signal for communication, by tracking of wireless signal, adversaries can trace to the source nodes which send out the message. This will also expose the location of a real event and the time it occurs. While the objects that are monitored by wireless sensor networks are usually sensitive objects, it is particularly important to preserve source location privacy in wireless sensor networks.Considering the attacks that WSNs may face with, this paper studies the source location privacy which can resist global attack. According to the characteristic of WSNs, it is the most useful way to resist the flow analysis attack by inserting dummy message. However, wireless sensor node is energy constrained, inserting dummy message will lead to more redundant traffic. To reduce dummy traffic, in this paper, EBS (Energy-Based Scheme) and AFS (All Filtering Scheme) are designed to save energy and network traffic. They are designed from different aspects, one is to reduce dummy message from the source, and the other is to reduce dummy packets during their transmission.Considering the large communication overhead problem of FitProbRate Scheme, this paper designs EBS based on its improvements. On the one hand, this scheme introduces of energy impact factor, parameter benchmarks and energy influence in phase of inserting dummy message, to make dummy message interval affect by the node’s current power. On the other hand, in the interval adjustment phase, consider that energy impact factor will influence on average message interval, recalculate the next message delivery time interval. Through theoretical analysis and simulation experiments, the results show that, this scheme is of short transmission delay, at the same time, it has less communication overhead, can save energy for nodes.Given that dummy message injection can lead to a larger network flow, from the perspective of dummy message forwarding process, this paper designs AFS that all nodes can filter dummy messages. Each node drops the dummy packets as soon as they arrived, while putting the real messages into message queue. After some appropriate time interval, the node will transmit real messages to next hop. Theoretical analysis and simulation are conducted to evaluate the performance of this scheme. This scheme is compared with the Proxy-based Filtering Scheme and the Periodic Collection Scheme. The results show that AFS is more easy to deploy, and has less network communication overhead. It can effectively reduce the energy consumption of the network.