PTSLP: Position Tracking Based Source Location Privacy for Wireless Sensor Networks

Autor: Hao Wang, Sammy Chan, Guangjie Han, Chunsheng Zhu
Rok vydání: 2017
Předmět:
Zdroj: Radio Frequency Identification and IoT Security ISBN: 9783319620237
RFIDSec
Popis: Abundant experiments have shown that phantom source nodes cannot leave far away from the real source node. In this paper, we propose a novel position tracking based source location privacy (PTSLP) protection scheme for wireless sensor networks (WSNs). First, we construct a phantom area in order to make phantom source nodes being far from the real source node. Secondly, we combine shortest path routing and random routing to forward packets to sink node rather than deviating from sink node. Then, we make every packet pass through a special area called trace cost area which consists of many sensor nodes with different weights in different areas and finally reach the ring around sink node. Compared with SLP-E, which fails to take overlapping path into consideration, our proposed scheme can reduce overlapping path. Simulation results show that PTSLP can increase safety time and enhance source location privacy in WSNs.
Databáze: OpenAIRE