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Cited 12 time in webofscience Cited 16 time in scopus
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Black Block Recorder: Immutable Black Box Logging for Robots via Blockchain

Authors
White, RuffinCaiazza, GianlucaCortesi, AgostinoCho, Young ImChristensen, Henrik, I
Issue Date
Oct-2019
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Robot safety; networked robots; software middle-ware; cryptobotics; distributed ledgers
Citation
IEEE ROBOTICS AND AUTOMATION LETTERS, v.4, no.4, pp.3812 - 3819
Journal Title
IEEE ROBOTICS AND AUTOMATION LETTERS
Volume
4
Number
4
Start Page
3812
End Page
3819
URI
https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/79361
DOI
10.1109/LRA.2019.2928780
ISSN
2377-3766
Abstract
Event data recording is crucial in robotics research, providing prolonged insights into a robot's situational understanding, progression of behavioral state, and resulting outcomes. Such recordings are invaluable when debugging complex robotic applications or profiling experiments ex post facto. As robotic developments mature into production, both the roles and requirements of event logging will broaden, to include serving as evidence for auditors and regulators investigating accidents or fraud. Given the growing number of high profile public incidents involving self-driving automotives resulting in fatality and regulatory policy making, it is paramount that the integrity, authenticity and non-repudiation of such event logs are maintained to ensure accountability. Being mobile cyber-physical systems, robots present new threats, and vulnerabilities beyond traditional IT: unsupervised physical system access or postmortem collusion between robot and OEM could result in the truncation or alteration of prior records. In this letter, we address immutablization of log records via integrity proofs and distributed ledgers with special considerations for mobile and public service robot deployments.
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Cho, Young Im
College of IT Convergence (컴퓨터공학부(컴퓨터공학전공))
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