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Automated Detection of Malware Activity on Local Networks
Pap, Adam ; Regéciová, Dominika (referee) ; Ryšavý, Ondřej (advisor)
The aim of this work is to analyze the network communication of malware and then identify suitable significant features that would allow to develop a suitable method for its detection. As part of the solution of the thesis, a dataset was created from which an IoC for each malware family were extracted. These IoCs were then validated through the AlienVault OTX platform, in order to verify their relevance. Metrics such as false positive rate, accuracy and sensitivity were used for evaluation. On the test data, the two IoC models created from the datasets achieved an accuracy of 99.337% and 94.732% for dataset 1 and 2, respectively. The IoC models of dataset No. 1 falsely classified 3.03% of communication windows as malicious in real communication. IoC models of set No. 2 classified 5.66% as malicious. After the samples of different malware families were run on the machine, the IoC models of set No. 1 classified 7.14% of the windows as malicious. Set No. 2 models classified 15.79%.
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Collecting Indicators of Compromise from Operating Systems
Procházka, Jiří ; Ryšavý, Ondřej (referee) ; Grégr, Matěj (advisor)
Focus of this thesis is on the design and implementation of an application for gathering indicators of compromise from the systems. In the thesis, there is an introduction to the term indicator of compromise and description of commonly used categories. Next, there is a summary of existing tools with a similar focus. In the thesis, there is a list of some existing formats for sharing of indicators of compromise and selection of format which resulting application uses. After the implementation, application was tested both locally and on infrastructure of cyber exercise.
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Collecting Indicators of Compromise from Operating Systems
Procházka, Jiří ; Ryšavý, Ondřej (referee) ; Grégr, Matěj (advisor)
Focus of this thesis is on the design and implementation of an application for gathering indicators of compromise from the systems. In the thesis, there is an introduction to the term indicator of compromise and description of commonly used categories. Next, there is a summary of existing tools with a similar focus. In the thesis, there is a list of some existing formats for sharing of indicators of compromise and selection of format which resulting application uses. After the implementation, application was tested both locally and on infrastructure of cyber exercise.
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