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Generating secure random numbers is vital to the security and privacyinfrastructures we rely on today. Having a computer system generate a securerandom number is not a trivial problem due to the deterministic nature ofcomputer systems. Servers commonly deal with this problem throughhardware-based random number generators, which can come in the form ofexpansion cards, dongles, or integrated into the CPU itself. With the explosionof network- and internet-connected devices, however, the problem ofcryptography is no longer a server-centric problem; even small devices need areliable source of randomness for cryptographic operations - for example,network devices and appliances like routers, switches and access points, aswell as various Internet-of-Things (IoT) devices for security and remotemanagement. This paper proposes a software solution based on side-channelmeasurements as a source of high-quality entropy (nicknamed "SideRand"), thatcan theoretically be applied to most platforms (large servers, appliances, evenmaker boards like RaspberryPi or Arduino), and generates a seed for a regularCSPRNG to enable proper cryptographic operations for security and privacy. Thispaper also proposes two criteria - openness and auditability - as essentialrequirements for confidence in any random generator for cryptographic use, anddiscusses how SideRand meets the two criteria (and how most hardware devices donot).

SideRand: A Heuristic and Prototype of a Side-Channel-Based  Cryptographically Secure Random Seeder Designed to Be Platform- and  Architecture-Agnostic