Empirical Assessment of Methods to Detect Cyber Attacks on a Robot

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

doi:10.1109/HASE.2016.19

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 proceeding › Conference proceeding › peer-review

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 language	English
Title of host publication	2016 IEEE 17th International Symposium on High Assurance Systems Engineering (HASE)
Publisher	IEEE
ISBN (Electronic)	978-1-4673-9913-5
ISBN (Print)	978-1-4673-9912-8
DOIs	https://doi.org/10.1109/HASE.2016.19
Publication status	Published - 3 Mar 2016
Externally published	Yes
Event	17th International Symposium on High Assurance Systems Engineering (HASE) - Orlando, United States Duration: 7 Jan 2016 → 9 Jan 2016

Conference

Conference	17th International Symposium on High Assurance Systems Engineering (HASE)
Country/Territory	United States
City	Orlando
Period	7/01/16 → 9/01/16

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10.1109/HASE.2016.19

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Sabaliauskaite, G, Ng, GS, Ruths, J & Mathur, AP 2016, Empirical Assessment of Methods to Detect Cyber Attacks on a Robot. in 2016 IEEE 17th International Symposium on High Assurance Systems Engineering (HASE). IEEE, 17th International Symposium on High Assurance Systems Engineering (HASE), Orlando, Florida, United States, 7/01/16. https://doi.org/10.1109/HASE.2016.19

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author = "G. Sabaliauskaite and G.S. Ng and J. Ruths and A.P. Mathur",

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AB - 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.

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T2 - 17th International Symposium on High Assurance Systems Engineering (HASE)

Y2 - 7 January 2016 through 9 January 2016

ER -

Empirical Assessment of Methods to Detect Cyber Attacks on a Robot

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