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National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Semi-automatic classification of suspicious URLs and their detection in network traffic
 Novotná, Michaela ; Poliakov, Daniel (referee) ; Žádník, Martin (advisor)
This thesis focuses on the design and implementation of a system for detecting and analyzing potentially malicious URL addresses in network traffic. The system includes the process of obtaining suspicious URL addresses from honeypots, automatic analysis of URLs, which also includes the classification process. Furthermore, the system focuses on manual classification through a web interface, which is also designed to browse data obtained during automatic analysis. Another part of the system consists of detection and reporting modules for the NEMEA system, which ensure the detection of malicious addresses in network traffic. The system focuses on obtaining information about malicious URLs and sharing it with the public through the MISP and URLhaus platforms. After successful testing, the systém was deployed in the CESNET network environment and handed over to the organization’s security department.
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