Privacy protection algorithm based on linear directional phantom source node in WSN
| Autor: | Leqiang Bai, Hongshu Zhu, Guoku Li |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
020203 distributed computing
Computer science Privacy protection 0202 electrical engineering electronic engineering information engineering Random function 020206 networking & telecommunications 02 engineering and technology Random walk Algorithm Wireless sensor network Linear equation Imaging phantom |
| Zdroj: | 2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS). |
| DOI: | 10.1109/icsess.2017.8343044 |
| Popis: | For the problem that the existing source-location privacy protection algorithms have lower safety periods, source-location privacy protection algorithm based on linear directional phantom source node is proposed. The algorithm establishes a linear equation with coordinates of node, determines direction of transmission path by linear equation, determines random walk hops by random function, determines phantom source by random selection of nodes. Finally, the data will be transmitted to sink node by phantom source node. The experimental results show that the algorithm can enhance the safety period and protect source location privacy effectively compared with the existing source location privacy protection algorithms. Even if source node is close to sink node, the algorithm can still increase safety period effectively. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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