Memory-based Combination PUFs for Device Authentication in Embedded Systems
Soubhagya Sutar, Arnab Raha, and Vijay Raghunathan

TL;DR
This paper introduces a novel combination PUF that merges SRAM and DRAM to enhance security, entropy, and reconfigurability for device authentication in embedded IoT systems, demonstrating robustness against attacks and environmental variations.
Contribution
It proposes a new memory-based combination PUF leveraging SRAM and DRAM, improving security, entropy, and reconfigurability over existing single-memory PUFs.
Findings
Achieves high entropy and large challenge-response space.
Resists various security attacks effectively.
Maintains 100% true-positive and 0% false-positive authentication rates across temperature and aging tests.
Abstract
Embedded systems play a crucial role in fueling the growth of the Internet-of-Things (IoT) in application domains such as healthcare, home automation, transportation, etc. However, their increasingly network-connected nature, coupled with their ability to access potentially sensitive/confidential information, has given rise to many security and privacy concerns. An additional challenge is the growing number of counterfeit components in these devices, resulting in serious reliability and financial implications. Physically Unclonable Functions (PUFs) are a promising security primitive to help address these concerns. Memory-based PUFs are particularly attractive as they require minimal or no additional hardware for their operation. However, current memory-based PUFs utilize only a single memory technology for constructing the PUF, which has several disadvantages including making them…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
