A novel framework for industrial control system malicious code analysis Conference

Wang, CL, Miao, Q, Fang, L et al. (2013). A novel framework for industrial control system malicious code analysis . 765-767 1936-1942. 10.4028/www.scientific.net/AMR.765-767.1936

cited authors

  • Wang, CL; Miao, Q; Fang, L; Dai, YQ

fiu authors

abstract

  • Industrial Control System (ICS) performs the tasks of supervisory control and data acquisition of critical infrastructures. With the widely application of computer and network techniques, ICS suffers serious security threats, and malicious codes are one of the most serious security problems. However, there is absent of analysis methods specific for ICS malicious code behaviors in current times. In this paper, a framework for ICS malicious code analysis is presented. Firstly, the ICS attack graph model is established based upon the hierarchical structure of industrial control system and the suffered security threats, which formalizes the attack process of ICS malicious code. Secondly, the runtime information of ICS malicious code is detected and collected for analyzing and assessing the attack behaviors and the resulted impacts. Finally, the ICS simulation environment for malicious code analysis is constructed based upon the framework and the experimental analysis of ICS malicious code is performed which preliminary validates the effectiveness of the proposed framework. © (2013) Trans Tech Publications, Switzerland.

publication date

  • October 10, 2013

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

  • 9783037857984

start page

  • 1936

end page

  • 1942

volume

  • 765-767