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Automated Processing of Log Files in BeeeOn System
Beňo, Marek ; Krobot, Pavel (referee) ; Vampola, Pavel (advisor)
The paper concerns with processing of log files from server applications . System architecture is based on study of availible technologies . Firstly , design of unified log format and impelementation of unified logger library is described . Secondly , installation and configuration of used technologies and their integration is described . The result is log processing system designed to be scalable in the future . System was tested and integrated into project BeeeOn .
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Phishing Detection in Web Pages
Beňo, Marek ; Hrivňák, Ján (referee) ; Holkovič, Martin (advisor)
This work deals with the design of a phishing attack detection and classification tool. The work describes techniques and forms of phishing attacks and availible tools and techniques for phishing detection. Based on the analysis of existing tools a solution for file classification is proposed. Implemented tool handles input parsing and creation of input model. Model is based on hybrid analysis of input file and URL. Using the YARA tool, YARA rules are applied which are then used in creation of input classification. Analysis of input model and definition of classification rules is enabled by implemented YARA module. Implemented solution makes it possible to define YARA rules for phishing classification based on the structural properties of a phishing file and features of source URL.
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Phishing Detection in Web Pages
Beňo, Marek ; Hrivňák, Ján (referee) ; Holkovič, Martin (advisor)
This work deals with the design of a phishing attack detection and classification tool. The work describes techniques and forms of phishing attacks and availible tools and techniques for phishing detection. Based on the analysis of existing tools a solution for file classification is proposed. Implemented tool handles input parsing and creation of input model. Model is based on hybrid analysis of input file and URL. Using the YARA tool, YARA rules are applied which are then used in creation of input classification. Analysis of input model and definition of classification rules is enabled by implemented YARA module. Implemented solution makes it possible to define YARA rules for phishing classification based on the structural properties of a phishing file and features of source URL.
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Automated Processing of Log Files in BeeeOn System
Beňo, Marek ; Krobot, Pavel (referee) ; Vampola, Pavel (advisor)
The paper concerns with processing of log files from server applications . System architecture is based on study of availible technologies . Firstly , design of unified log format and impelementation of unified logger library is described . Secondly , installation and configuration of used technologies and their integration is described . The result is log processing system designed to be scalable in the future . System was tested and integrated into project BeeeOn .
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