Machine Learning for Cyber Security: Mitigating Cyber Attacks and Detecting Malicious Activities in Network Traffic – ABENEZER DESALGN DANA
ABENEZER DESALGN DANA
Master's thesis
Machine Learning for Cyber Security: Mitigating Cyber Attacks and Detecting Malicious Activities in Network Traffic
Abstract:
References: Dawson, M., Bacius, R., Gouveia, L. and Vassilakos, A. (2021). Understanding the Challenge of Cybersecurity in Critical Infrastructure Sectors. Land Forces Academy Review, 26(1), pp.69-75. Ferriyan, A., Thamrin, A., Takeda, K. and Murai, J. (2021). Generating Network Intrusion Detection Dataset Based on Real and Encrypted Synthetic Attack Traffic. Applied Sciences, 11(17), p.7868. Hastie …more
Language used: English
Date on which the thesis was submitted / produced: 3. 4. 2023
Thesis defence
- Date of defence: 24. 5. 2023
- Supervisor: Ing. Tomáš Hlavsa, Ph.D.
- Reader: Michal Kadlec, externi
Citation record
ISO 690-compliant citation record:
DANA, ABENEZER DESALGN. \textit{Machine Learning for Cyber Security: Mitigating Cyber Attacks and Detecting Malicious Activities in Network Traffic}. Online. Master's thesis. Praha: Czech University of Life Sciences Prague, Faculty of Economics and Management. 2023. Available from: https://theses.cz/id/xkj3nv/.
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Institution archiving the thesis and making it accessible: Česká zemědělská univerzita v Praze, Provozně ekonomická fakultaCzech University of Life Sciences Prague
Faculty of Economics and ManagementMaster programme / field:
Systems Engineering and Informatics / Informatics
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