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Detection of slow-rate DDoS attacks
Sikora, Marek ; Frolka, Jakub (referee) ; Blažek, Petr (advisor)
This diploma thesis is focused on the detection and protection against Slow DoS and DDoS attacks using computer network traffic analysis. The reader is introduced to the basic issues of this specific category of sophisticated attacks, and the characteristics of several specific attacks are clarified. There is also a set of methods for detecting and protecting against these attacks. The proposed methods are used to implement custom intrusion prevention system that is deployed on the border filtering server of computer network in order to protect Web servers against attacks from the Internet. Then created system is tested in the laboratory network. Presented results of the testing show that the system is able to detect attacks Slow GET, Slow POST, Slow Read and Apache Range Header and then protect Web servers from affecting provided services.
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Detection of attacks targeted at web applications
Jégrová, Eliška ; Gerlich, Tomáš (referee) ; Martinásek, Zdeněk (advisor)
This thesis is dealing with vulnerabilities of web applications. The aim of the work is to create tools for attack detection of certain attacks, specifically Same Origin Method Execution (SOME), XML Signature Wrapping attack, XPATH Injection, HTTP Response Smuggling and Server-Side Includes (SSI) injection. Another aim is to create logs that display detected attacks. In the first part, the theory is analyzed and vulnerabilities of chosen attacks are described including their misuse. In the next section there are web application implemented which contain vulnerabilities for successful execution of the attacks. Furthermore, in Python language detection methods are designed and developed for these attacks, which are accompanied by a log entry.
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Analysis and Detection of Multimedia Types in RTP Traffic
Kmeť, Martin ; Ryšavý, Ondřej (referee) ; Matoušek, Petr (advisor)
This thesis deals with the issues of detecting the codec used for the encoding of voice data carried by the RTP protocol without having access to the information carried by signalisation protocols in VoIP applications. Its main goal is to create and implement a fast algorithm for detecting the codec used for voice transfer via the RTP protocol. This algorithm should be fast enough to be used for offline analysis of captured data as well as for real-time online analysis. For research of possibilities were compared two approaches of detection. Detection by the characteristics of the codecs was chosen to solve the problem itself. Within the solution was performed data analysis and implementation of the application followed by testing on data.
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Detection of Boxes in Image
Soroka, Matej ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
The aim of this work is to experiment and evaluate different approaches of computer vision with the aim of automatic detection of boxes-blocks in the image, for this purpose, approaches based on neural networks were used in the solution. Experiments were performed with classification using our own data set, classification using our own convolutional neural network, detection using a window, YOLO detector and in the last part a proposal for improvement using U-net and MirrorNet networks.
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Tabletop Object Detection
Timko, Martin ; Veľas, Martin (referee) ; Kapinus, Michal (advisor)
The aim of this thesis is to design and create a module for robotic platform PR2. This module has to detect objects in front of the robot on a table and enable various operations with these objects. This thesis describes methods of object detection which were used in the implementation of the module. The thesis also describes the methods used for design and implementation of this module. The module testing and evaluation of results are mentioned at the end of the thesis.
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Theremin Simulation Using Leap Motion
Staurovský, Maroš ; Zahrádka, Jiří (referee) ; Najman, Pavel (advisor)
The goal of this thesis is the creation and implementation of application that simulates playing the theremin by using Leap Motion sensor and MIDI protocol. This sensor allows us to detect movement of hands and recognition of gestures in the monitored area. This is used in the aplication to simulate the same principle that is used for playing theremin. Unlike this instrument we are able to produce sound of different instruments which is accomplished by using MIDI. The Leap Motion sensor and MIDI protocol are detailed in the theoretical part of the thesis.
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QRS detection based on Stockwell transform
Kašík, Ondřej ; Kozumplík, Jiří (referee) ; Smital, Lukáš (advisor)
This bachelor´s thesis deals with the detection of QRS complexes in ECG record. The thesis provides a brief information related to the heart anatomy, generation of electrical signals in the heart, recording and description of the ECG record. In more detail, there is a description of the detection of QRS complexes by various methods and realization of a detector based on Stockwell transform, Shannon energy and adaptive thresholding. The evaluation process of the detection efficiency is also included. Sensitivity and positive prediction of the proposed detector on the complete MIT-BIH Arrhythmia database reached 99.80 % and 99.88 % respectively.
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Sign language detection methods - review
Petr, Luboš ; Venglář, Vojtěch (referee) ; Krejsa, Jiří (advisor)
The Aim of this work is to describe various methods of sign language detection. The output of individual methods is a functional translation of sign language into text in real time. In addition to glove and kinect detection, this work deals with the possibilities of sign language detection from image recording, which is the most prospective method of detection in the future. The thesis is also focused on sign classification using neural networks.
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