National Repository of Grey Literature 3 records found  Search took 0.00 seconds. 
Algorithm for Head Comparison in Non-Standard Views
Wysoglad, Jaromír ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
The goal of this work is to create an algorithm for human head comparison. The algorithm is able to compare heads in a lot of different positions, but the heads, that are being compared, must be in the same position. At first the algorithm uses some freely available detectors for detecting heads and head parts. Then a histogram of oriented gradients is computed for each part of each head and by comparing them the algorithm finds out the dissimilarity of the heads. From the testing set of 30 pictures the algorithm is able to successfully detect heads on 26 pictures. Every picture was compared with 5 other pictures, with one of them containing a head of the same person. If I don't count the 4 pictures, where the algorithm wasn't able to detect the head and 2 pictures, which should have been assigned to these pictures. The algorithm successfully determined, that the head of the same person is the most similar on 18 pictures. On 5 pictures the head of the same person was determined as the 3rd most similar and on one of the pictures the algorithm failed completely and determined the head of the same person to be the least similar. The algorithm is successful with head comparison in different positions on most of the pictures.
Active Response to Selected Network Attacks
Wysoglad, Jaromír ; Martínek, Tomáš (referee) ; Žádník, Martin (advisor)
The goal of this thesis is to design and implement an active response to a chosen network attack. In the thesis are mentioned a few different possible responses to network attacks. These reactions are then compared using a few different criteria and the most appropriate response is then chosen for implementation. This response is then described in detail and its implementation is proposed. In the later fazes of the thesis the reaction is implemented and tested. The chosen reaction can react to two types of attacks. The first type is a port scan. The implemented project can answer a port scan instead of the original victim. The second type is a situation, when an attacker is trying to log into an SSH server of the victim. The project can reroute these login attempts to a honeypot, which can record the used login credentials. After this, it's possible to let the attacker to successfuly login. In this sitation the honeypot will reroute the attacker to a docker container, so the attacker will think, that this is a real ssh server. The honeypot will then record attacker's every move on the container. As a part of the thesis, there is also a simple application, which allows the defender to replay the recorded attack. The defender will se exactly the same output as the attacker saw during the attack.
Algorithm for Head Comparison in Non-Standard Views
Wysoglad, Jaromír ; Goldmann, Tomáš (referee) ; Drahanský, Martin (advisor)
The goal of this work is to create an algorithm for human head comparison. The algorithm is able to compare heads in a lot of different positions, but the heads, that are being compared, must be in the same position. At first the algorithm uses some freely available detectors for detecting heads and head parts. Then a histogram of oriented gradients is computed for each part of each head and by comparing them the algorithm finds out the dissimilarity of the heads. From the testing set of 30 pictures the algorithm is able to successfully detect heads on 26 pictures. Every picture was compared with 5 other pictures, with one of them containing a head of the same person. If I don't count the 4 pictures, where the algorithm wasn't able to detect the head and 2 pictures, which should have been assigned to these pictures. The algorithm successfully determined, that the head of the same person is the most similar on 18 pictures. On 5 pictures the head of the same person was determined as the 3rd most similar and on one of the pictures the algorithm failed completely and determined the head of the same person to be the least similar. The algorithm is successful with head comparison in different positions on most of the pictures.

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