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Analyzing Cyber-Physical Threats on Robotic Platforms †

Robots are increasingly involved in our daily lives. Fundamental to robots are the communication link (or stream) and the applications that connect the robots to their clients or users. Such communication link and applications are usually supported through client/server network connection. This netw...

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Autores principales: Ahmad Yousef, Khalil M., AlMajali, Anas, Ghalyon, Salah Abu, Dweik, Waleed, Mohd, Bassam J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982649/
https://www.ncbi.nlm.nih.gov/pubmed/29883403
http://dx.doi.org/10.3390/s18051643
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author Ahmad Yousef, Khalil M.
AlMajali, Anas
Ghalyon, Salah Abu
Dweik, Waleed
Mohd, Bassam J.
author_facet Ahmad Yousef, Khalil M.
AlMajali, Anas
Ghalyon, Salah Abu
Dweik, Waleed
Mohd, Bassam J.
author_sort Ahmad Yousef, Khalil M.
collection PubMed
description Robots are increasingly involved in our daily lives. Fundamental to robots are the communication link (or stream) and the applications that connect the robots to their clients or users. Such communication link and applications are usually supported through client/server network connection. This networking system is amenable of being attacked and vulnerable to the security threats. Ensuring security and privacy for robotic platforms is thus critical, as failures and attacks could have devastating consequences. In this paper, we examine several cyber-physical security threats that are unique to the robotic platforms; specifically the communication link and the applications. Threats target integrity, availability and confidential security requirements of the robotic platforms, which use MobileEyes/arnlServer client/server applications. A robot attack tool (RAT) was developed to perform specific security attacks. An impact-oriented approach was adopted to analyze the assessment results of the attacks. Tests and experiments of attacks were conducted in simulation environment and physically on the robot. The simulation environment was based on MobileSim; a software tool for simulating, debugging and experimenting on MobileRobots/ActivMedia platforms and their environments. The robot platform PeopleBot(TM) was used for physical experiments. The analysis and testing results show that certain attacks were successful at breaching the robot security. Integrity attacks modified commands and manipulated the robot behavior. Availability attacks were able to cause Denial-of-Service (DoS) and the robot was not responsive to MobileEyes commands. Integrity and availability attacks caused sensitive information on the robot to be hijacked. To mitigate security threats, we provide possible mitigation techniques and suggestions to raise awareness of threats on the robotic platforms, especially when the robots are involved in critical missions or applications.
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spelling pubmed-59826492018-06-05 Analyzing Cyber-Physical Threats on Robotic Platforms † Ahmad Yousef, Khalil M. AlMajali, Anas Ghalyon, Salah Abu Dweik, Waleed Mohd, Bassam J. Sensors (Basel) Article Robots are increasingly involved in our daily lives. Fundamental to robots are the communication link (or stream) and the applications that connect the robots to their clients or users. Such communication link and applications are usually supported through client/server network connection. This networking system is amenable of being attacked and vulnerable to the security threats. Ensuring security and privacy for robotic platforms is thus critical, as failures and attacks could have devastating consequences. In this paper, we examine several cyber-physical security threats that are unique to the robotic platforms; specifically the communication link and the applications. Threats target integrity, availability and confidential security requirements of the robotic platforms, which use MobileEyes/arnlServer client/server applications. A robot attack tool (RAT) was developed to perform specific security attacks. An impact-oriented approach was adopted to analyze the assessment results of the attacks. Tests and experiments of attacks were conducted in simulation environment and physically on the robot. The simulation environment was based on MobileSim; a software tool for simulating, debugging and experimenting on MobileRobots/ActivMedia platforms and their environments. The robot platform PeopleBot(TM) was used for physical experiments. The analysis and testing results show that certain attacks were successful at breaching the robot security. Integrity attacks modified commands and manipulated the robot behavior. Availability attacks were able to cause Denial-of-Service (DoS) and the robot was not responsive to MobileEyes commands. Integrity and availability attacks caused sensitive information on the robot to be hijacked. To mitigate security threats, we provide possible mitigation techniques and suggestions to raise awareness of threats on the robotic platforms, especially when the robots are involved in critical missions or applications. MDPI 2018-05-21 /pmc/articles/PMC5982649/ /pubmed/29883403 http://dx.doi.org/10.3390/s18051643 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ahmad Yousef, Khalil M.
AlMajali, Anas
Ghalyon, Salah Abu
Dweik, Waleed
Mohd, Bassam J.
Analyzing Cyber-Physical Threats on Robotic Platforms †
title Analyzing Cyber-Physical Threats on Robotic Platforms †
title_full Analyzing Cyber-Physical Threats on Robotic Platforms †
title_fullStr Analyzing Cyber-Physical Threats on Robotic Platforms †
title_full_unstemmed Analyzing Cyber-Physical Threats on Robotic Platforms †
title_short Analyzing Cyber-Physical Threats on Robotic Platforms †
title_sort analyzing cyber-physical threats on robotic platforms †
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5982649/
https://www.ncbi.nlm.nih.gov/pubmed/29883403
http://dx.doi.org/10.3390/s18051643
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