Multi-stage attack detection: emerging challenges for wireless networks
dc.contributor.author | Lefoane, Moemedi | |
dc.contributor.author | Ghafir, Ibrahim | |
dc.contributor.author | Kabir, Sohag | |
dc.contributor.author | Awan, Irfan-Ullah | |
dc.date.accessioned | 2023-02-03T11:22:06Z | |
dc.date.accessioned | 2023-02-22T10:19:07Z | |
dc.date.available | 2023-02-03T11:22:06Z | |
dc.date.available | 2023-02-22T10:19:07Z | |
dc.date.issued | 2022-11 | |
dc.identifier.citation | Lefoane 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.uri | http://hdl.handle.net/10454/19326 | |
dc.description | Yes | en_US |
dc.description.abstract | Multi-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.iso | en | en_US |
dc.publisher | IEEE | |
dc.relation.isreferencedby | https://doi.org/10.1109/SmartNets55823.2022.9994027 | en_US |
dc.rights | © 2022 IEEE. Reproduced in accordance with the publisher's self-archiving policy. | en_US |
dc.subject | 5G | en_US |
dc.subject | Internet of Things | en_US |
dc.subject | Multi-stage attack | en_US |
dc.subject | Botnet attack | en_US |
dc.subject | Advanced persistent threats | en_US |
dc.subject | Machine learning | en_US |
dc.title | Multi-stage attack detection: emerging challenges for wireless networks | en_US |
dc.status.refereed | Yes | en_US |
dc.date.Accepted | 2022 | |
dc.date.application | 2023-01-03 | |
dc.type | Conference paper | en_US |
dc.date.EndofEmbargo | 2024-01-03 | |
dc.type.version | Accepted manuscript | en_US |
dc.description.publicnotes | The full-text of this article will be released for public view at the end of the publisher embargo on 03 Jan 2024. | en_US |
dc.rights.license | Unspecified | en_US |
dc.date.updated | 2023-02-03T11:22:08Z | |
refterms.dateFOA | 2023-02-22T10:19:47Z | |
dc.openaccess.status | embargoedAccess | en_US |