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Machine Learning for monitoring attacks in the cloud

Noort, N. van (2020) Machine Learning for monitoring attacks in the cloud.

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Abstract:‘Cloud’ is a computing infrastructure that is used for storage and processing. Many organizations have switched to using cloud, of which 28% experienced cloud security incidents in 2019 alone. One promising method for monitoring cloud attacks is using Machine Learning algorithms (ML). The problem is that it is not clear which ML approaches are suitable and most efficient for monitoring which cloud attack. While some related works have focused on using ML for monitoring cloud attacks, these studies covered only a handful of attacks. In contrast, in this research, we will cover ground towards broad use of ML for monitoring many different cloud attacks. Our methodology is threefold: (i) identifying cloud attacks, then (ii) recognizing problems that ML solves, and finally (iii) conducting a performance evaluation on ML using real data. Our analysis shows that ML-based monitoring can attain a 100% classification accuracy. Our contribution entails a foundation for future research.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:http://purl.utwente.nl/essays/82147
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