| Title | A Protecting Source-Location Privacy Scheme for Wireless Sensor Networks |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Miao, Xu, Han, Guangjie, He, Yu, Wang, Hao, Jiang, Jinfang |
| Conference Name | 2018 IEEE International Conference on Networking, Architecture and Storage (NAS) |
| Date Published | oct |
| Keywords | attack modes, cloud computing, cloud-based, compositionality, CPSLP scheme, critical problems, daily activities, data privacy, Human Behavior, Location Privacy in Wireless Networks, Metrics, multi-sinks, Position measurement, privacy, Privacy Protections, probability, protecting source-location privacy scheme, pubcrawl, Resiliency, Routing, security, security architecture, sensor nodes, smart IoT, source location privacy, source location protection, telecommunication network routing, telecommunication security, Transforms, Wireless Sensor Network, Wireless sensor networks |
| Abstract | An exciting network called smart IoT has great potential to improve the level of our daily activities and the communication. Source location privacy is one of the critical problems in the wireless sensor network (WSN). Privacy protections, especially source location protection, prevent sensor nodes from revealing valuable information about targets. In this paper, we first discuss about the current security architecture and attack modes. Then we propose a scheme based on cloud for protecting source location, which is named CPSLP. This proposed CPSLP scheme transforms the location of the hotspot to cause an obvious traffic inconsistency. We adopt multiple sinks to change the destination of packet randomly in each transmission. The intermediate node makes routing path more varied. The simulation results demonstrate that our scheme can confuse the detection of adversary and reduce the capture probability. |
| DOI | 10.1109/NAS.2018.8515721 |
| Citation Key | miao_protecting_2018 |
A Protecting Source-Location Privacy Scheme for Wireless Sensor Networks