Abstract
Internet of Things (IoT) devices are rapidly penetrating e-health and assisted living domains, and an increasing proportion among them goes on the account of computationally-weak devices, where security and privacy provisioning alone are demanding tasks, not to mention grouping proofs. This paper, therefore, gives an extensive analysis of such proofs and states lessons learnt to avoid possible pitfalls in future designs. It sticks with prudent engineering techniques in this field and deploys in a novel way the so called non-deterministic principle to provide not only grouping proofs, but (among other) also privacy. The developed solution is analyzed by means of a tangible metric and it is shown to be lightweight, and formally for security.
Highlights
Rapid proliferation of pervasive computing objects, like sensors and RFIDs, significantly changes the applications landscape, and increases concerns related to security, privacy and even safety and this especially holds true in medical settings
The developed solution as this is the case with the original Yoking proofs is intended for off-line grouping proofs
Numerous areas of our lives are becoming increasingly dependent on Internet of Things (IoT) structures that range from NFCs, RFIDs, RFIDs with sensors, and bare sensors on one side of the spectrum to capable sensor motes’ networks on the other side of the spectrum
Summary
Rapid proliferation of pervasive computing objects, like sensors and RFIDs, significantly changes the applications landscape, and increases concerns related to security, privacy and even safety and this especially holds true in medical settings. The population of this kind of devices is quite heterogeneous. Knowing that cryptographic protocols design, alone, is a tricky issue, adding stringent computing resources and power limitations results in additional complexity Knowing further that these devices are becoming rapidly adopted in medical settings, appropriate solutions are of utmost importance
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