The Internet of Things (IoT) has caused a revolutionary paradigm shift in computer networking. After decades of human-centered routines, where devices were merely tools that enabled human beings to authenticate themselves and perform activities, we are now dealing with a device-centered paradigm: the devices themselves are actors, not just tools for people. Conventional identity access management (IAM) frameworks were not designed to handle the challenges of IoT. Trying to use traditional IAM systems to reconcile heterogeneous devices and complex federations of online services (e.g., IoT sensors and cloud computing solutions) adds a cumbersome architectural layer that can become hard to maintain and act as a single point of failure. In this paper, we propose UniquID, a blockchain-based solution that overcomes the need for centralized IAM architectures while providing scalability and robustness. We also present the experimental results of a proof-of-concept UniquID enrolment network, and we discuss two different use-cases that show the considerable value of a blockchain-based IAM.
The Transport Layer Security (TLS) 1.3 protocol supports a fast zero round-trip time (0-RTT) session resumption mechanism, enabling clients to send data in their first flight of messages. This protocol has been designed with Web infrastructure in mind, and requires these first messages to not change any state on the server side, as it is susceptible to replay attacks. This is disastrous for common IoT scenarios, where sensors often transmit state-changing data to servers. As bandwidth is a huge concern in the IoT, the field stands to benefit significantly from an efficient session resumption protocol that does not suffer from these limitations. Building on the observation that in IoT scenarios the set of clients is often bounded and fairly static, we propose rTLS (ratchet TLS), an efficient 0-RTT session resumption protocol that dramatically decreases bandwidth overhead, while adding forward secrecy and breakin resilience, and is not susceptible against replay attacks.
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