Secure and Scalable Data Logger for IoT Devices
As devices in the Internet of Things (IoT) increase in number and integrate with everyday lives, large amounts of personal information will be generated. With multiple discovered vulnerabilities in current IoT networks, a malicious attacker might be able to get access to and misuse this personal data. Thus, a logger that stores this information securely would make it possible to perform forensic analysis in case of such attacks that target valuable data. We propose LogSafe, a scalable, fault-tolerant logger that leverages the use of Intel Software Guard Extensions (SGX) to store logs from IoT devices efficiently and securely. Using the security guarantees of SGX, LogSafe is designed to run on an untrusted cloud infrastructure and satisfies Confidentiality, Integrity, and Availability (CIA) security properties. We exhaustively evaluated LogSafe in order to demonstrate that it is capable of handling logs from a large number of IoT devices and at a very high data transmission rate.
 Hung Nguyen, Radoslav Ivanov, Linh T. X. Phan, Oleg Sokolsky, James Weimer, Insup Lee. "LogSafe: Secure and Scalable Data Logger for IoT Devices".
The 3rd ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI), Orlando, FL, USA, 2018.