University of Pennsylvania ScholarlyCommons Departmental Papers (CIS) Department of Computer & Information Science 4-2018 LogSafe: Secure and Scalable Data Logger for IoT Devices Hung Nguyen University of Pennsylvania,
[email protected] Radoslav Ivanov University of Pennsylvania,
[email protected] Linh T.X. Phan University of Pennsylvania,
[email protected] Oleg Sokolsky University of Pennsylvania,
[email protected] James Weimer University of Pennsylvania,
[email protected] See next page for additional authors Follow this and additional works at: https://repository.upenn.edu/cis_papers Part of the Computer Engineering Commons, and the Computer Sciences Commons Recommended Citation Hung Nguyen, Radoslav Ivanov, Linh T.X. Phan, Oleg Sokolsky, James Weimer, and 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 2018) . April 2018. The 3rd ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI 2018), Orlando, FL, USA April 17-20, 2018 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/cis_papers/834 For more information, please contact
[email protected]. LogSafe: Secure and Scalable Data Logger for IoT Devices Abstract 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.