Publication details

Stream-Based IP Flow Analysis

Authors

ČERMÁK Milan ČELEDA Pavel

Year of publication 2021
Type Article in Proceedings
Conference IFIP/IEEE International Symposium on Integrated Network Management, IM 2021
MU Faculty or unit

Institute of Computer Science

Citation
Web http://dl.ifip.org/db/conf/im/im2021diss/212545.pdf
Keywords Stream Processing; IP Flow; Stream4Flow
Attached files
Description As the complexity of Internet services, transmission speed, and data volume increases, current IP flow monitoring and analysis approaches cease to be sufficient, especially within high-speed and large-scale networks. Although IP flows consist only of selected network traffic features, their processing faces high computational demands, analysis delays, and large storage requirements. To address these challenges, we propose to improve the IP flow monitoring workflow by stream-based collection and analysis of IP flows utilizing a distributed data stream processing. This approach requires changing the paradigm of IP flow data monitoring and analysis, which is the main goal of our research. We analyze distributed stream processing systems, for which we design a novel performance benchmark to determine their suitability for stream-based processing of IP flow data. We define a stream-based workflow of IP flow collection and analysis based on the benchmark results, which we also implement as a publicly available and open-source framework Stream4Flow. Furthermore, we propose new analytical methods that leverage the stream-based IP flow data processing approach and extend network monitoring and threat detection capabilities.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.

More info