NCJ Number
310590
Date Published
October 2018
Length
9 pages
Abstract
This study proposes a Direction of Arrival (DoA)-aided attack detection scheme to identify cyberattacks on networked multi-robot systems. For each agent, a local estimator is designed to generate robust residuals, and a parametric statistical tool corresponding to the residuals is elaborated to build sensitive decision rules. These locally stored residuals and thresholds are shared between robots via a wireless network, allowing a multi-robot system to complete its mission in the presence of one or more compromised agents. The proposed DoA-aided attack detection scheme is tested on a multi-robot testbed with a team of 10 robots. Experimental results demonstrate that the proposed detection scheme enables each robot to identify malicious activities without shearing the global coordination. (Publisher abstract provided.)
Date Published: October 1, 2018
Downloads
Similar Publications
- Longitudinal Examination of the Bullying-Sexual Violence Pathway Across Early to Late Adolescence: Implicating Homophobic Name-Calling
- Commentary on: Alberink I, de Jongh A, Rodriguez C. Fingermark evidence evaluation based on automated fingerprint identification system matching scores: the effect of different types of conditioning on likelihood ratios. J Forensic Sci 2014; 59(1):70–81.
- Lay understanding of forensic statistics: Evaluation of random match probabilities, likelihood ratios, and verbal equivalents.