Privacy Protection Algorithm Based on Random Annular Region in WSN

Autor: Guoku Li, Leqiang Bai, Hongshu Zhu
Rok vydání: 2018
Předmět:
Zdroj: 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS).
DOI: 10.1109/icsess.2018.8663818
Popis: For the problem location privacy problem of source nodes in wireless sensor networks, privacy protection algorithm based on Random Annular Region in WSN is proposed. Draw support from the coordinates of source node and relay node, the linear equation is set up to provide direction for the selection of the phantom source node, set the random annular region to limit the possible region of the phantom source node. Simulation results show that, compared with the existing source location privacy protection algorithm, the algorithm can improve security cycle and achieve the balance between location privacy problem and communication overhead.
Databáze: OpenAIRE