Integrity And Privacy-Preserving Aggregation Algorithm In Wireless Sensor Networks

As one of the major parts of the Internet of Things(IoT), Wireless Sensor Networks(WSNs) need to collect, dispose and transfer the environment information, in the case of limited resources. In practical applications, we require to assure the security of this information. So it plays an important role in adding privacy-preserving mechanism and integrity-protecting mechanism in data aggregation.In the recent years, many algorithms about privacy-preseving and integrity-protecting of WSNs have been published, but little on mixing of the two sides. Because the privacy-preserving mechanism and integrity-protecting mechanism is all achieved by changing the way of communication in the process of data aggregation or network structure. It is difficult to compatible with each other. The existing algorithms mostly improved on mature privacy-preserving algorhthm by adding the integrity protection, for instance iPDA, which based on SMART. In iPDA, data integrity is achieved through redundancy by constructing disjoint aggregation trees to collect data of interest. But iPDA has a large computation complexity and a large communication overhead, additionally an imperfect integrity-protecting mechanism.In this paper, we present iESPART, which based on ESPART-the improved algorithm on SMART. iESPART is able to determine which nodes have been attacked, by using a homomorphism message authentication code scheme. It enhances the network utilization rate effectively. In addition, the time slice allocation is improved to avoid collision and reduce the delay effection of calculation. The simulation results show that iESPART achieves the same data privacy-preserving effect as iPDA, while, a more comprehensive integrity protection mechanism and lesser communication overhead.