Detecting Advanced Network Threats Using a Similarity Search

@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 a Pavel ČELEDA. Detecting Advanced Network Threats Using a Similarity Search. In \textit{Management and Security in the Age of Hyperconnectivity}. 9701. vyd. Munich, Germany: Springer International Publishing, 2016. s.~137-141. ISBN~978-3-319-39813-6.