Silicon physical random functions
Proceedings of the 9th ACM conference on Computer and communications security
Battery-free Wireless Identification and Sensing
IEEE Pervasive Computing
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
Internet of Things: Applications and Challenges in Technology and Standardization
Wireless Personal Communications: An International Journal
Using Data Contention in Dual-ported Memories for Security Applications
Journal of Signal Processing Systems
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With the Internet of Things on the horizon, correct authentication of Things within a population will become one of the major concerns for security. Physical authentication, which is implementing digital fingerprints by utilizing device-unique manufacturing variations, has great potential for achieving this purpose. MEMS sensors that are used in the Internet of Things have not been explored as a source of variation. In this paper, we target a commonly used MEMS sensor, an accelerometer, and utilize its process variations to generate digital fingerprints. This is achieved by measuring the accelerometer's response to an applied electrostatic impulse and its inherent offset values. Our results revealed that MEMS sensors could be used as a source for digital fingerprints for run-time authentication applications.