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Intrusion prevention system for slow DoS attacks
Lanžhotský, Karel ; Gerlich, Tomáš (referee) ; Sikora, Marek (advisor)
This master's thesis deals with the matter of detection and prevention of flood and slow denial of service attacks. Output of this thesis is software capable of detection five attacks and five slow attack based on their signatures. At the beginning of the thesis there is an introduction to protocols used in network communication, especially these working on transport and application layer. Included in this thesis in an introduction into the matters of denial of service attacks, their description and differences between mentioned attack types. After that there is description of approaches to detection and prevention techniques to the mentioned attacks. At the end thesis is dedicated to the process of making and testing of the devised software.
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Molecular detection of Mycoplasma gallisepticum based on whole genome data
KURÁŽ, Jakub
This thesis reviews the basic knowlegde of a bacteria Mycoplasma gallisepticum and attempts to propose a functional detection protocol to distinguish M. gallisepticum from related species of the genus Mycoplasma. Real time PCR optimalization has refined the specificity and increased the efficiency of detection of selected genomic loci for M. gallisepticum. The functionality and accuracy of the method was verified in laboratory experiments by detecting the occurrence of M. gallisepticum in mixed Mycoplasma samples.
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Malware: Behaviour, Detection and Prevention
Langer, Jakub ; Šedrlová, Magdalena (referee) ; Ellederová, Eva (advisor)
Tato bakalářská práce pojednává o formě počítačové kriminality, která využívá škodlivý software zvaný malware. Nastiňuje základy počítačových bezpečnostních hrozeb a vysvětluje relevantní pojmy a koncepty. Poté práce postupuje přes nejběžnější a nejnebezpečnější typy malwaru, přičemž každý z nich popisuje a zároveň začleňuje informace o tom, jak konkrétní druh malwaru ovlivnil svět. Práce se dále zabývá základy detekce malwaru a popisuje, jak se uživatelé mohou chránit pomocí preventivních technik. Cílem práce je vytvořit manuál, který by mohli použít běžní uživatelé počítačů ke své vlastní ochraně před malwarem.
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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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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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