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Mr. Sean T. Miller

Degree Programme: 
Research Topic: 
Machine Learning
Research Group: 
C.I.F.E.R Group
Full Time/Part Time: 
Full Time
Machine Learning in Cyber Security
Recent Publications: 

Miller, Sean, and Curtis Busby-Earle. "The Impact of Different Botnet Flow Feature Subsets on Prediction Accuracy Using Supervised and Unsupervised Learning Methods." (2016).

Miller, Sean, and Curtis Busby-Earle. "The role of machine learning in botnet detection." In Internet Technology and Secured Transactions (ICITST), 2016 11th International Conference for, pp. 359-364. IEEE, 2016.

Miller, Sean T., and Curtis Busby-Earle. "Multi-Perspective Machine Learning a Classifier Ensemble Method for Intrusion Detection." In Proceedings of the 2017 International Conference on Machine Learning and Soft Computing, pp. 7-12. ACM, 2017.

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