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@inproceedings{55386, author = {Špaček, Stanislav and Čeleda, Pavel}, address = {Neuveden}, booktitle = {Proceedings of the 12th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2018)}, keywords = {intrusion detection; network flows; network logs; encrypted traffic}, howpublished = {elektronická verze "online"}, language = {eng}, location = {Neuveden}, isbn = {978-3-903176-12-6}, pages = {6-10}, publisher = {IFIP}, title = {Threat Detection Through Correlation of Network Flows and Logs}, url = {http://www.aims-conference.org/2018/AIMS-2018-Proceedings.pdf}, year = {2018} }
TY - JOUR ID - 55386 AU - Špaček, Stanislav - Čeleda, Pavel PY - 2018 TI - Threat Detection Through Correlation of Network Flows and Logs PB - IFIP CY - Neuveden SN - 9783903176126 KW - intrusion detection KW - network flows KW - network logs KW - encrypted traffic UR - http://www.aims-conference.org/2018/AIMS-2018-Proceedings.pdf N2 - A rising amount of mutually interconnected and communicating devices puts increasing demands on cybersecurity operators and their tools. With the rise of end-to-end encryption, it is becoming increasingly difficult to detect threats in network traffic. With such motivation, this Ph.D. proposal aims to find new methods for automatic detection of threats hiding in encrypted channels. The focus of the proposal is on correlating the data still available in the encrypted network flows with the data contained in the logs of network applications. Our research is in the initial phase and will contribute to a Ph.D. thesis in four years. ER -
ŠPAČEK, Stanislav a Pavel ČELEDA. Threat Detection Through Correlation of Network Flows and Logs. Online. In \textit{Proceedings of the 12th International Conference on Autonomous Infrastructure, Management and Security (AIMS 2018)}. Neuveden: IFIP, 2018, s.~6-10. ISBN~978-3-903176-12-6.
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