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Title: Toward Detection and Attribution of Cyber-Attacks in IoT-Enabled Cyber–Physical Systems
Award ID(s):
1736209
NSF-PAR ID:
10327693
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
IEEE Internet of Things Journal
Volume:
8
Issue:
17
ISSN:
2372-2541
Page Range / eLocation ID:
13712 to 13722
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. Cyber-Physical Systems (CPS) consist of embedded computers with sensing and actuation capability, and are integrated into and tightly coupled with a physical system. Because the physical and cyber components of the system are tightly coupled, cyber-security is important for ensuring the system functions properly and safely. However, the effects of a cyberattack on the whole system may be difficult to determine, analyze, and therefore detect and mitigate. This work presents a model based software development framework integrated with a hardware-in-the-loop (HIL) testbed for rapidly deploying CPS attack experiments. The framework provides the ability to emulate low level attacks and obtain platform specific performance measurements that are difficult to obtain in a traditional simulation environment. The framework improves the cybersecurity design process which can become more informed and customized to the production environment of a CPS. The developed framework is illustrated with a case study of a railway transportation system. 
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