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USB Flashdrives Virus Detector Implemented in RaspberryPi
Polehňa, Dominik ; Pánek, Richard (referee) ; Krčma, Martin (advisor)
This thesis is focused on the analysis of internet security and the implementation of USB flashdrives virus detector. We will firstly analyze the basics of viruses and antiviruses and from gained knowledge we are going to create an automatic virus detector which doesn't need an user intervention. For impelementation will be used a platform Raspberry Pi and programming language Python.
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Brute Force Attack on Access System Using Synthetic Fingerprints
Polehňa, Dominik ; Goldmann, Tomáš (referee) ; Kanich, Ondřej (advisor)
The work deals with the resistance of the VeriFinger comparison algorithm to synthetic fingerprints. The basics of fingerprints, comparison algorithms and synthetic fingerprint generators are gradually analyzed. In total, three experiments were designed to test the resistance of the algorithm using synthetic fingerprints. An application using the VeriFinger algorithm was implemented to evaluate individual experiments. A total of 2 800 000 synthetic fingerprints were generated across all experiments. The first experiment showed that random fingerprint generation was not effective for real fingerprints, but was somewhat sufficient for synthetic fingerprints. The second experiment proved that comparison and the comparison score could be used to estimate the class of the identified fingerprint, and in the third experiment, by narrowing the generation to one class, it raised the total number of matched fingerprints. The results of individual experiments were written and their possible extension was suggested.
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Brute Force Attack on Access System Using Synthetic Fingerprints
Polehňa, Dominik ; Goldmann, Tomáš (referee) ; Kanich, Ondřej (advisor)
The work deals with the resistance of the VeriFinger comparison algorithm to synthetic fingerprints. The basics of fingerprints, comparison algorithms and synthetic fingerprint generators are gradually analyzed. In total, three experiments were designed to test the resistance of the algorithm using synthetic fingerprints. An application using the VeriFinger algorithm was implemented to evaluate individual experiments. A total of 2 800 000 synthetic fingerprints were generated across all experiments. The first experiment showed that random fingerprint generation was not effective for real fingerprints, but was somewhat sufficient for synthetic fingerprints. The second experiment proved that comparison and the comparison score could be used to estimate the class of the identified fingerprint, and in the third experiment, by narrowing the generation to one class, it raised the total number of matched fingerprints. The results of individual experiments were written and their possible extension was suggested.
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USB Flashdrives Virus Detector Implemented in RaspberryPi
Polehňa, Dominik ; Pánek, Richard (referee) ; Krčma, Martin (advisor)
This thesis is focused on the analysis of internet security and the implementation of USB flashdrives virus detector. We will firstly analyze the basics of viruses and antiviruses and from gained knowledge we are going to create an automatic virus detector which doesn't need an user intervention. For impelementation will be used a platform Raspberry Pi and programming language Python.
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