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Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data

journal contribution
posted on 2017-02-10, 00:00 authored by M D Huda, S Miah, M M Hasaan, R Islam, John YearwoodJohn Yearwood, M Alrubaian, A Almogren
Cyber-physical systems (CPS) are used increasingly in modern industrial systems. These systems currently encounter a significant threat of malicious activities created by malicious software intent on exploiting the fact that the software of such industrial systems is integrated with hardware and network systems. Malicious codes dynamically and continuously change their internal structure and attack patterns using obfuscation techniques, such as polymorphism and metamorphism, in order to bypass and hide from conventional malware detection engines. This requires continuously updating the database of the malware detection engine, which requires periodic effort from manual experts. This could limit the real-time protection of CPS. In addition, this also makes preserving the availability and integrity of the services provided by CPS against malicious code challenging because there is a demand for the development of specialized malware detection techniques for CPS.

History

Journal

Information sciences

Volume

379

Pagination

211 - 228

Publisher

Elsevier

Location

Amsterdam, The Netherlands

ISSN

0020-0255

eISSN

1872-6291

Language

eng

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2016, Elsevier

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