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Classification of Event-Related Google Alerts Using Machine Learning

Kamerman, Wim (2018) Classification of Event-Related Google Alerts Using Machine Learning.

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Abstract:DDoS attacks form a severe threat to organizations, as their services can be made unavailable at any moment, resulting in major direct and indirect damage. This research compares the performance of 8 supervised machine learning classifiers on a DDoS Google Alert dataset. We provide an annotated dataset and suggest that the Support Vector Machine and the Neural Network perform best based on the desired performance focus. Last, we publish a tool that eases the process of comparing and optimizing multiple (supervised) classifiers on a given dataset, while ensuring valid results. The research can be used to collect all reported DDoS attacks on the internet. This collection can be used to gain a better understanding of DDoS attacks.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business & IT BSc (56066)
Awards:EEMCS 2018 Best Paper Award
Link to this item:http://purl.utwente.nl/essays/77011
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