Smart City Gnosys
Smart city article details
| Title | A Hardware-Software Codesign Approach To Identity, Trust, And Resilience For Iot/Cps At Scale |
|---|---|
| ID_Doc | 2013 |
| Authors | Kandah F.; Cancelleri J.; Reising D.; Altarawneh A.; Skjellum A. |
| Year | 2019 |
| Published | Proceedings - 2019 IEEE International Congress on Cybermatics: 12th IEEE International Conference on Internet of Things, 15th IEEE International Conference on Green Computing and Communications, 12th IEEE International Conference on Cyber, Physical and Social Computing and 5th IEEE International Conference on Smart Data, iThings/GreenCom/CPSCom/SmartData 2019 |
| DOI | http://dx.doi.org/10.1109/iThings/GreenCom/CPSCom/SmartData.2019.00191 |
| Abstract | Advancement in communication technologies and the Internet of Things (IoT) is driving adoption in smart cities that aims to increase operational efficiency and improve the quality of services and citizen welfare, among other potential benefits. The privacy, reliability, and integrity of communications must be ensured so that actions can be appropriate, safe, accurate, and implemented promptly after receiving actionable information. In this work, we present a multi-Tier methodology consisting of an authentication and trust-building/distribution framework designed to ensure the safety and validity of the information exchanged in the system. Blockchain protocols and Radio Frequency-Distinct Native Attributes (RF-DNA) combine to provide a hardware-software codesigned system for enhanced device identity and overall system trustworthiness. Our threat model accounts for counterfeiting, breakout fraud, and bad mouthing of one entity by others. Entity trust (e.g., IoT devices) depends on quality and level of participation, quality of messages, lifetime of a given entity in the system, and the number of known 'bad' (non-consensus) messages sent by that entity. Based on this approach to trust, we are able to adjust trust upward and downward as a function of real-Time and past behavior, providing other participants with a trust value upon which to judge information from and interactions with the given entity. This approach thereby reduces the potential for manipulation of an IoT system by a bad or byzantine actor. © 2019 IEEE. |
| Author Keywords | Blockchain; IoT; RF-DNA Fingerprinting; Trust management |
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