Multi-stage attack detection: emerging challenges for wireless networks
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Publication date
2022-11Keyword
5GInternet of Things
Multi-stage attack
Botnet attack
Advanced persistent threats
Machine learning
Rights
© 2022 IEEE. Reproduced in accordance with the publisher's self-archiving policy.Peer-Reviewed
YesOpen Access status
openAccess
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Show full item recordAbstract
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.Version
Accepted manuscriptCitation
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.Link to Version of Record
https://doi.org/10.1109/SmartNets55823.2022.9994027Type
Conference paperae974a485f413a2113503eed53cd6c53
https://doi.org/10.1109/SmartNets55823.2022.9994027