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@inproceedings{22226, author = {Čermák, Milan and Čeleda, Pavel}, address = {Munich, Germany}, booktitle = {Management and Security in the Age of Hyperconnectivity}, edition = {9701}, keywords = {similarity search; network data; classification; network threats}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Munich, Germany}, isbn = {978-3-319-39813-6}, pages = {137-141}, publisher = {Springer International Publishing}, title = {Detecting Advanced Network Threats Using a Similarity Search}, url = {http://link.springer.com/chapter/10.1007%2F978-3-319-39814-3_14}, year = {2016} }
TY - JOUR ID - 22226 AU - Čermák, Milan - Čeleda, Pavel PY - 2016 TI - Detecting Advanced Network Threats Using a Similarity Search PB - Springer International Publishing CY - Munich, Germany SN - 9783319398136 KW - similarity search KW - network data KW - classification KW - network threats UR - http://link.springer.com/chapter/10.1007%2F978-3-319-39814-3_14 N2 - In this paper, we propose a novel approach for the detection of advanced network threats. We combine knowledge-based detections with similarity search techniques commonly utilized for automated image annotation. This unique combination could provide effective detection of common network anomalies together with their unknown variants. In addition, it offers a similar approach to network data analysis as a security analyst does. Our research is focused on understanding the similarity of anomalies in network traffic and their representation within complex behaviour patterns. This will lead to a proposal of a system for the realtime analysis of network data based on similarity. This goal should be achieved within a period of three years as a part of a PhD thesis. ER -
ČERMÁK, Milan and Pavel ČELEDA. Detecting Advanced Network Threats Using a Similarity Search. In \textit{Management and Security in the Age of Hyperconnectivity}. 9701st ed. Munich, Germany: Springer International Publishing. p.~137-141. ISBN~978-3-319-39813-6. 2016.
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