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RF-PUF: Enhancing IoT Security through Authentication of Wireless Nodes using In-situ Machine Learning
[article]
2018
arXiv
pre-print
Traditional authentication in radio-frequency (RF) systems enable secure data communication within a network through techniques such as digital signatures and hash-based message authentication codes (HMAC), which suffer from key recovery attacks. State-of-the-art IoT networks such as Nest also use Open Authentication (OAuth 2.0) protocols that are vulnerable to cross-site-recovery forgery (CSRF), which shows that these techniques may not prevent an adversary from copying or modeling the secret
arXiv:1805.01374v3
fatcat:dpwz6xo76zeq3ilpfo4yvbvzti