dc.contributor.author | Bacquet, Carlos | |
dc.date.accessioned | 2010-08-24T17:34:47Z | |
dc.date.available | 2010-08-24T17:34:47Z | |
dc.date.issued | 2010-08-24 | |
dc.identifier.uri | http://hdl.handle.net/10222/13016 | |
dc.description.abstract | This work explores the use of a Multi-Objective Genetic Algorithm (MOGA) for both, feature selection and cluster count optimization, for an unsupervised machine learning technique, K-Means, applied to encrypted traffic identification (SSH). The performance of the proposed model is benchmarked against other unsupervised learning techniques existing in the literature: Basic K-Means, semi-supervised K-Means, DBSCAN, and EM. Results show that the proposed MOGA, not only outperforms the other models, but also provides a good trade off in terms of detection rate, false positive rate, and time to build and run the model. A hierarchical version of the proposed model is also implemented, to observe the gains, if any, obtained by increasing cluster purity by means of a second layer of clusters. Results show that with the hierarchical MOGA, significant gains are observed in terms of the classification performances of the system. | en_US |
dc.language.iso | en | en_US |
dc.subject | Network Traffic Identification | en_US |
dc.subject | Encrypted Traffic | en_US |
dc.title | An Investigation of a Multi-Objective Genetic Algorithm applied to Encrypted Traffic Identification | en_US |
dc.type | Thesis | en_US |
dc.date.defence | 2010-08-10 | |
dc.contributor.department | Faculty of Computer Science | en_US |
dc.contributor.degree | Master of Computer Science | en_US |
dc.contributor.external-examiner | Dr. Robert Beiko | en_US |
dc.contributor.graduate-coordinator | Dr. Malcolm Heywood | en_US |
dc.contributor.thesis-reader | Professor Denis Riordan | en_US |
dc.contributor.thesis-reader | Professor Malcolm I. Heywood | en_US |
dc.contributor.thesis-supervisor | Professor Nur A. Zincir-Heywood | en_US |
dc.contributor.ethics-approval | Not Applicable | en_US |
dc.contributor.manuscripts | Not Applicable | en_US |
dc.contributor.copyright-release | No | en_US |