Encrypting wireless network traces to protect user privacy: A case study for smart campus
| Autor: | Athanasios Bamis, Ozgur Oksuz, Chaoqun Yue, Levon Nazaryan, Bing Wang, Luqiao Zhang, Aggelos Kiayias |
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| Rok vydání: | 2016 |
| Předmět: |
User information
Information privacy business.industry Computer science Wireless network Client-side encryption 020206 networking & telecommunications 02 engineering and technology Encryption 020204 information systems Server 0202 electrical engineering electronic engineering information engineering Bandwidth (computing) Overhead (computing) business Computer network |
| Zdroj: | WiMob |
| Popis: | Wireless network traces have been widely used to understand human behaviors and provide value-added services. Sanitization based techniques have been shown to be severely lacking in protecting sensitive user information embedded in such traces. In this paper, we take an encryption based approach that provides much stronger protection of user privacy. One challenge in encrypting wireless network traces is how to encrypt time range while maintaining the utility of the traces. We propose two practical encryption techniques to support queries that involve time range. These two techniques provide much stronger security guarantee than existing order preserving encryption schemes, and present different tradeoffs in complexity, as well as storage and network bandwidth requirement. Last, we quantify the performance of the proposed approach using a smart campus prototype. The results show that our approach only leads to moderate increase in storage, network bandwidth and computation overhead, demonstrating the practicality of our approach. |
| Databáze: | OpenAIRE |
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