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AuthorSun, Yanbin
AuthorTian, Zhihong
AuthorLi, Mohan
AuthorSu, Shen
AuthorDu, Xiaojiang
AuthorGuizani, Mohsen
Available date2022-10-30T21:04:02Z
Publication Date2021-08-01
Publication NameIEEE Transactions on Industrial Informatics
Identifierhttp://dx.doi.org/10.1109/TII.2020.3044576
CitationSun, Y., Tian, Z., Li, M., Su, S., Du, X., & Guizani, M. (2020). Honeypot identification in softwarized industrial cyber–physical systems. IEEE Transactions on Industrial Informatics, 17(8), 5542-5551.‏
ISSN15513203
URIhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85098799112&origin=inward
URIhttp://hdl.handle.net/10576/35613
AbstractIn softwarized industrial networking, honeypot identification is very important for both the attacker and the defender. Existing honeypot identification relies on simple features of honeypot. There exist two challenges: The simple feature is easily simulated, which causes inaccurate results, whereas the advanced feature relies on high interactions, which lead to security risks. To cope with these challenges, in this article, we propose a secure fuzzy testing approach for honeypot identification inspired by vulnerability mining. It utilizes error handling to distinguish honeypots and real devices. Specifically, we adopt a novel identification architecture with two steps. First, a multiobject fuzzy testing is proposed. It adopts mutation rules and security rules to generate effective and secure probe packets. Then, these probe packets are used for scanning and identification. Experiments show that the fuzzy testing is effective and corresponding probe packet can acquire more features than other packets. These features are helpful for honeypot identification.
Languageen
PublisherIEEE Computer Society
SubjectHoneypot identification
industrial cyber-physical system (CPS)
secure fuzzy testing
softwarized network
TitleHoneypot Identification in Softwarized Industrial Cyber-Physical Systems
TypeArticle
Pagination5542-5551
Issue Number8
Volume Number17
dc.accessType Abstract Only


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