Quantitative impact analysis of application-level attacks on a robotic platform
by Khalil M. Ahmad Yousef; Anas AlMajali; Bassam J. Mohd; Salah Abu Ghalyon
International Journal of Electronic Security and Digital Forensics (IJESDF), Vol. 14, No. 4, 2022

Abstract: Robots are important examples of cyberphysical systems. Typically, robots are battery powered, which are a potential target for cyber-physical attacks to drain batteries and reduce their lifespan. When the battery is drained, the robot is not available and results in denial-of-service. Hence, robotic security and operation duration are fundamental requirements. The main objective of this paper is to provide an impact-based quantitative security risk assessment of three application level attacks targeting a well-known mobile robot platform that is called the PeopleBot™. The novelty of our work is that we successfully drained a fully-charged robot battery using application level attacks that include exhausting the computing resources of the robot. The attacks cause a reduction in the robot availability time. The average availability time from the performed attacks was reduced by 11.78%. We followed the adversarial risk assessment template provided in NIST. Finally, some mitigation strategies for the performed attacks were suggested.

Online publication date: Mon, 04-Jul-2022

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Electronic Security and Digital Forensics (IJESDF):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com