Empirical Assessment of Methods to Detect Cyber Attacks on a Robot

G. Sabaliauskaite, G.S. Ng, J. Ruths, A.P. Mathur

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

4 Citations (Scopus)

Abstract

An experiment was conducted using a robot to investigate the effectiveness of four methods for detecting cyber attacks and analyzing robot failures. Cyber attacks were implemented on three robots of the same make and model through their wireless control mechanisms. Analysis of experimental data indicates the differences in attack detection effectiveness across the detection methods. A method that compares sensors values at each time step to the average historical values, was the most effective. Further, the attack detection effectiveness was the same or lower in actual robots as compared to simulation. Factors such as attack size and timing, influenced attack detection effectiveness.
Original languageEnglish
Title of host publication 2016 IEEE 17th International Symposium on High Assurance Systems Engineering (HASE)
PublisherIEEE
ISBN (Electronic)978-1-4673-9913-5
ISBN (Print)978-1-4673-9912-8
DOIs
Publication statusPublished - 3 Mar 2016
Externally publishedYes
Event17th International Symposium on High Assurance Systems Engineering (HASE) - Orlando, United States
Duration: 7 Jan 20169 Jan 2016

Conference

Conference17th International Symposium on High Assurance Systems Engineering (HASE)
CountryUnited States
CityOrlando
Period7/01/169/01/16

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