Silicon physical random functions
Proceedings of the 9th ACM conference on Computer and communications security
Controlled Physical Random Functions
ACSAC '02 Proceedings of the 18th Annual Computer Security Applications Conference
Physical unclonable functions for device authentication and secret key generation
Proceedings of the 44th annual Design Automation Conference
FPGA Intrinsic PUFs and Their Use for IP Protection
CHES '07 Proceedings of the 9th international workshop on Cryptographic Hardware and Embedded Systems
Power-Up SRAM State as an Identifying Fingerprint and Source of True Random Numbers
IEEE Transactions on Computers
Memory Leakage-Resilient Encryption Based on Physically Unclonable Functions
ASIACRYPT '09 Proceedings of the 15th International Conference on the Theory and Application of Cryptology and Information Security: Advances in Cryptology
Hardware intrinsic security from D flip-flops
Proceedings of the fifth ACM workshop on Scalable trusted computing
RFID-Tags for anti-counterfeiting
CT-RSA'06 Proceedings of the 2006 The Cryptographers' Track at the RSA conference on Topics in Cryptology
Evaluation of a PUF device authentication scheme on a discrete 0.13um SRAM
INTRUST'11 Proceedings of the Third international conference on Trusted Systems
On the effectiveness of the remanence decay side-channel to clone memory-based PUFs
CHES'13 Proceedings of the 15th international conference on Cryptographic Hardware and Embedded Systems
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The contamination of electronic component supply chains by counterfeit hardware devices is a serious and growing risk in today's globalized marketplace. Current practice for detecting counterfeit semiconductors includes visual checking, electrical testing, and reliability testing which can require significant investments in expertise, equipment, and time. Additionally, best practices have been developed in industry worldwide to combat counterfeiting in many of its variants. Although the current approaches improve the situation significantly, they do not provide extensive technical means to detect counterfeiting. However, new approaches in this area are beginning to emerge. Suh and Devadas recently proposed a low cost device authentication scheme which relies on Physically Unclonable Functions (PUFs) to implement a challenge-response authentication protocol. There are several constraints in their authentication scheme, e.g., their scheme requires a secure online database and relies on PUF constructions that exhibit a large number of challenge-response pairs. In this paper, we introduce a new device authentication scheme using PUFs for device anticounterfeiting. Our scheme is simple and practical as it does not require any online databases and is not tied to any PUF implementations. For hardware devices which already have SRAM and non-volatile storage embedded, our scheme takes almost no additional cost.