Pattern Detection based Network Diagnostics

Martin Holkovič, Michal Bohuš, Ondřej Ryšavý


One of the most important parts of the network administrators’ work is detecting and correcting errors inside computer networks. This part is also called network diagnostics. The problem is that computer networks are very complex, and there is no single universal approach for diagnosing the errors. In this paper, we propose a new method of diagnostics which utilizes looking for specific patterns inside captured network data. This approach automatically checks for all predefined patterns and generates a report with error descriptions for any detected errors. We have created a proof-of-concept tool and demonstrated its functionality.


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