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A novel physiological features-assisted architecture for rapidly distinguishing health problems from hardware Trojan attacks and errors in medical devices.

, , , and . HOST, page 106-109. IEEE Computer Society, (2017)

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Medical Device Security Through Hardware Signatures.. Georgia Institute of Technology, Atlanta, GA, USA, (2019)base-search.net (ftgeorgiatech:oai:smartech.gatech.edu:1853/60798).A Novel Approach to Detect Hardware Trojan Attacks on Primary Data Inputs., , , and . WESS, page 2. ACM, (2015)A chip-level security framework for assessing sensor data integrity: work-in-progress., , and . CODES+ISSS, page 20. IEEE / ACM, (2018)Hardware-Based Run-Time Code Integrity in Embedded Devices., , and . Cryptogr., 2 (3): 20 (2018)Securing Medical Devices Against Hardware Trojan Attacks Through Analog-, Digital-, and Physiological-Based Signatures., , , and . J. Hardw. Syst. Secur., 2 (3): 251-265 (2018)Use of Analog Signatures for Hardware Trojan Detection., , , , and . FPGAworld, page 15-22. ACM, (2017)Efficient Buffer Design and Implementation for Wormhole Routers on FPGAs., and . ARC, volume 8405 of Lecture Notes in Computer Science, page 233-239. Springer, (2014)Secure and Dependable NoC-Connected Systems on an FPGA Chip., and . IEEE Trans. Reliability, 65 (4): 1852-1863 (2016)A novel physiological features-assisted architecture for rapidly distinguishing health problems from hardware Trojan attacks and errors in medical devices., , , and . HOST, page 106-109. IEEE Computer Society, (2017)