S2Net: Preserving Privacy in Smart Home Routers

Seung seob Lee, Hang Shi, Kun Tan, Yunxin Liu, Su Kyoung Lee, Yong Cui

Research output: Contribution to journalArticlepeer-review


At present, wireless home routers are becoming increasingly smart. While these smart routers provide rich functionalities to users, they also raise security concerns. Although the existing end-to-end encryption techniques can be applied to protect personal data, such rich functionalities become unavailable due to the encrypted payloads. As a consequence, users face a difficult trade-off between the benefits of the rich functionalities and potential privacy risks. To deal with this dilemma, we propose a novel system named Secure and Smart Network (S2Net) for home routers. For S2Net, we propose a secure OS that can distinguish and manage multiple sessions belonging to different users. The secure OS and all the router applications are placed in the secure world using the ARM TrustZone technology. In S2Net, we also confine the router applications in sandboxes provided by the proposed secure OS to prevent data leakage. As a result, S2Net can provide rich functionalities for users while preserving strong privacy for home routers. We report the system design of S2Net and the details of our implementation. Experimental results with benchmarks and real applications demonstrate that our implementation is capable of achieving high performance in terms of throughput while mitigating the overhead of S2Net design.

Original languageEnglish
JournalIEEE Transactions on Dependable and Secure Computing
Publication statusAccepted/In press - 2019

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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