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Cyber-physical approach to securing Body Area Networks (BANs) provides solutions that are plug-n-play and trans-parent to its users. These Cyber-Physical Security Solutions (CPSS) actively involve characteristics from the physical environment. As a result they require a combination of signal processing (To extract features from the physical environment) and security primitives to function. This paper outlines some of the experiences while implementing Plethys-mogram based Key Agreement (PKA) - a CPSS - that uses PhotoPlethysmoGram (PPG) based features for key agreement. Given the limited capabilities (Computation, memory, power) of individual sensor nodes in a BAN, implementing CPSS for them is challenging.
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