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dc.contributor.authorLefoane, Moemedi
dc.contributor.authorGhafir, Ibrahim
dc.contributor.authorKabir, Sohag
dc.contributor.authorAwan, Irfan U.
dc.date.accessioned2023-02-03T11:22:06Z
dc.date.accessioned2023-02-22T10:19:07Z
dc.date.available2023-02-03T11:22:06Z
dc.date.available2023-02-22T10:19:07Z
dc.date.issued2022-11
dc.identifier.citationLefoane M, Ghafir I, Kabir S et al (2022) Multi-stage attack detection: emerging challenges for wireless networks. In: 2022 International Conference on Smart Applications, Communications and Networking (SmartNets). 29 Nov-01 Dec 2022. Palapye, Botswana.en_US
dc.identifier.urihttp://hdl.handle.net/10454/19326
dc.descriptionYesen_US
dc.description.abstractMulti-stage attacks (MSAs) are among the most serious threats in cyberspace today. Criminals target big organisations and government critical infrastructures mainly for financial gain. These attacks are becoming more advanced and stealthier, and thus have capabilities to evade Intrusion Detection Systems (IDSs). As a result, the attack strategies used in the attack render IDSs ineffective, particularly because of new security challenges introduced by some of the key emerging technologies such as 5G wireless networks, cloud computing infrastructure and Internet of Things (IoT), Advanced persistent threats (APTs) and botnet attacks are examples of MSAs, these are serious threats on the Internet. This work analyses recent MSAs, outlines and reveals open issues, challenges and opportunities with existing detection methods.en_US
dc.language.isoenen_US
dc.publisherIEEE
dc.rights© 2022 IEEE. Reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subject5Gen_US
dc.subjectInternet of Thingsen_US
dc.subjectMulti-stage attacken_US
dc.subjectBotnet attacken_US
dc.subjectAdvanced persistent threatsen_US
dc.subjectMachine learningen_US
dc.titleMulti-stage attack detection: emerging challenges for wireless networksen_US
dc.status.refereedYesen_US
dc.date.Accepted2022
dc.date.application2023-01-03
dc.typeConference paperen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1109/SmartNets55823.2022.9994027
dc.rights.licenseUnspecifieden_US
dc.date.updated2023-02-03T11:22:08Z
refterms.dateFOA2023-02-22T10:19:47Z
dc.openaccess.statusopenAccessen_US


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