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

https://hdl.handle.net/10536/DRO/DU:30088905
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journal contribution

posted on 2024-06-04, 04:36 authored by Shamsul HudaShamsul Huda, S Miah, M Mehedi Hassan, R Islam, John YearwoodJohn Yearwood, M Alrubaian, A Almogren

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

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Related Materials

1.
DOI - Is version of https://doi.org/10.1016/j.ins.2016.09.041

Location

Amsterdam, The Netherlands

Language

English

Publication classification

C Journal article, C1 Refereed article in a scholarly journal

Copyright notice

2016, Elsevier

Journal

Information Sciences

Volume

379

Pagination

211-228

ISSN

0020-0255

eISSN

1872-6291

Publisher

ELSEVIER SCIENCE INC

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Keywords

Science & Technology Technology Computer Science, Information Systems Computer Science Dynamic analysis Malware behavior selection API parameters String feature SECURITY School of Information Technology 4604 Cybersecurity and privacy 4606 Distributed computing and systems software 4611 Machine learning

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