| Title | Location Privacy Protection of WSN Based on Network Partition and Angle |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Bai, Leqiang, Li, Guoku |
| Conference Name | 2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) |
| Keywords | angle, compositionality, data privacy, forwarding path, geographic location, hop node, Human Behavior, Location Privacy in Wireless Networks, Metrics, network partition, phantom routing algorithm, phantom source, phantom source nodes, pubcrawl, Resiliency, source location, source location privacy protection, telecommunication network routing, telecommunication security, Wireless sensor networks, WSN |
| Abstract | For the phantom routing algorithm, phantom source nodes are concentrated near the real source node, and for the angle based phantom routing algorithm, phantom source nodes focus on some areas, and the existing source location privacy protection algorithm has low security cycle, a source location privacy protection algorithm of wireless sensor networks based on angle and network partition is proposed. The algorithm selects the next hop node on forwarding path according to the angle relationship between neighbors, and ensures that phantom source nodes are far away from the real source node and have the diversity of geographic location through network partition. Simulation results show that, compared with the existing source location privacy protection algorithm, this algorithm can induce attackers to deviate from the real path, and increase security cycle. |
| DOI | 10.1109/FSKD.2018.8686927 |
| Citation Key | bai_location_2018 |
Location Privacy Protection of WSN Based on Network Partition and Angle