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Malware Detection Using DNS Traffic Analysis
Daniš, Daniel ; Ovšonka, Daniel (referee) ; Kováčik, Michal (advisor)
This master thesis deals with the design and implementation of a tool for malware detection using DNS traffic analysis. Text of the thesis is divided into theoretical and practical part. In theoretical part the reader will be acknowledged with the domain of malware and botnet detection. Consequently, various options and methods of malware detection will be described. Practical part of the thesis contains description of malware detection tool architecture as well as key aspects of its implementation. Moreover, the emphasis is being placed on testing and experiments. The result of the thesis is a tool, written in python, for malware detection using DNS traffic analysis, that uses a combination of several methods of detection.
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Potential calculation of mutual information from a time series
Hubr, Ivo ; Smékal, Zdeněk (referee) ; Mekyska, Jiří (advisor)
Mutual information is one of the factors used in traffic analysis and preparation phase space. Begin of this work deal with information theory, focusing on the calculation of mutual information. To calculate this parameter has been available for many algorithms which are analyzing in this final work. Two of the algorithms (Fraser-Swinney and calculation of mutual information using adaptive XY subdivision) are applied to the input data Rössler’ attractor, as shown in the output tables and graphs. The third consideration method is the computational Dinh-Tuan-Pham algorithm. The main goal of this work is a comparison of efficiency, speed and accuracy of the calculation of these algorithms.
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Potential calculation of reciprocal information from a time series
Hubr, Ivo ; Rajmic, Pavel (referee) ; Kacálek, Jan (advisor)
Mutual information is one of the factors used in traffic analysis and preparation phase space. At the beginning of this work I deal with information theory, focusing on the theoretical calculation of mutual information. To calculate this parameter has been available for many algorithms which I analyze in my final work. Two of the algorithms (Fraser-Swinney and calculation of mutual information using adaptive XY subdivision) are applied to the input data Rössler' attractor, as shown in the output tables and graphs. The third consideration method is the computational Dinh-Tuan-Pham algorithm. The main goal of my work is a comparison of efficiency, speed and accuracy of the calculation of these algorithms.
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Traffic Analysis from Video
Sochor, Jakub ; Španěl, Michal (referee) ; Herout, Adam (advisor)
V rámci této práce byl navržen a implementován systém pro analýzu dopravy z videa. Tento system umožňuje detekovat, sledovat a klasifikovat automobily. Systém je schopný detekovat pruhy z pohybu projíždějících automobilů a také je možné určit, zdali daný automobil jede v protisměru. Rychlost projíždějících automobilů je také měřena. Pro funkčnost systému není vyžadován žadný manuální vstup nebo kalibrace kamery, jelikož kamera je plně automacky zkalibrována pomocí úběžníků. Navržený systém pracuje s velkou přesností detekce, sledování a klasifikace automobilů a také rychlost automobilů je měřena s~malou chybou. Systém je schopný pracovat v reálném čase a je aktuálně využíván pro nepřetržité online sledování dopravy. Největším přínosem této práce je plně automatické měření rychlostí projíždějích vozidel.
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Synthetic Data Set Generator for Traffic Analysis
Šlosár, Peter ; Juránková, Markéta (referee) ; Herout, Adam (advisor)
This Master's thesis deals with the design and development of tools for generating a synthetic dataset for traffic analysis purposes. The first part contains a brief introduction to the vehicle detection and rendering methods. Blender and the set of scripts are used to create highly customizable training images dataset and synthetic videos from a single photograph. Great care is taken to create very realistic output, that is suitable for further processing in field of traffic analysis. Produced images and videos are automatically richly annotated. Achieved results are tested by training a sample car detector and evaluated with real life testing data. Synthetic dataset outperforms real training datasets in this comparison of the detection rate. Computational demands of the tools are evaluated as well. The final part sums up the contribution of this thesis and outlines some extensions of the tools for the future.
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Analysis of Captured DNS Traffic
Hmeľár, Jozef ; Kekely, Lukáš (referee) ; Kováčik, Michal (advisor)
This thesis is focused on the analysis of captured DNS traffic. Introduction of this thesis is focused of basic desciption of computer networks , DNS and description of network flows. Then, the work focused on analysis Netflow format, IPFIX and PCAP, the analysis and implementation of tool for analyzing DNS traffic in C++ programming language. The conclusion is devoted to the results of the implemented tools.
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Optimalization of Web Pages and Strategy of Selling
Úradníček, Lukáš ; Měřička, Radim (referee) ; Koch, Miloš (advisor)
The thesis deals with the optimization of website of thai massage studio. This work includes evaluation of the initial state, a proposed amendment, keyword analysis, optimization of texts and support through building backlinks. Evaluation of success is done through the analysis of traffic and tracking the position of the primary keywords on major search engines in the Czech Republic - Google.cz and Seznam.cz.
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New trends in restoring the chateau Křinec
Harapesová, Eva ; Netková, Jarmila (advisor) ; Svoboda, Milan (referee)
This thesis focuses on trends in the use of castles and chateaus in order to apply the knowledge to the private chateau Křinec. To achieve the aim a combination of primary and secondary research is used. The work is defined by the general definition of tourism, its typology and definitions of cultural tourism. The theoretical part deals with general trends in the tourism sector, cultural tourism sector , the use of castles and chateaus, their property relations and changes. The practical part deals with chateau Křinec, its history, analysis of the current state ,a questionnaire and suggesting a recovery opportunities in the cultural-educational and commercial field.
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Opportunities and conditions of use of social networks to increase competitiveness
Vondruška, Pavel ; Molnár, Zdeněk (advisor) ; Nečas, Miroslav (referee)
The diploma thesis is focused on the social networking sites in terms of their use for increasing the competitiveness of companies. The first part deals with a theoretical introduction to social networks where the basic concepts are defined and then characterized by major networks globally. Each social network is analyzed both in terms of the structure of its users, and are listed as individual options, which provides for promotion within their system - they are mentioned both paid and unpaid opportunities. At the end of this section are described the general possibilities of using social networking for business - ways to measure the impact of these activities, risks and requirements of their operation within the company. The second part is a practical solution to use social networks to support the selected e-commerce business. The introduction provides basic parameters of the e-shop is defined by the competitive environment. The analysis carried out various solutions to various social networks. It is designed and implemented their own social network to the target audience the company. The practical part ends with a final report including recommendations for further progress in the use of social networks. The main contribution of the paper is to present a detailed analysis of selected enterprise communication on social networks, including putting all the relevant data from which the conclusion can be drawn in specific recommendations to further enhance competitiveness.
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The Use of Google Analytics in an E-shop
Jansa, Marek ; Molnár, Zdeněk (advisor) ; Gála, Libor (referee)
This thesis is focused on detailed description of the Web analytics tool Google Analytics and its use in improving attendance and competitiveness of Dobra vína company's e-shop. The aim is to propose measures that will increase sales of offered products. The measures were designed combining the analysis of web content, technical analysis of the web and the data obtained using Google Analytics. The thesis provides updated information on setting up Google Analytics: important changes that had taken place recently among which the transition to asynchronous syntax. These haven't been yet summarized in any other similar work. It also brings its own perspective on the use of information from Google Analytics to improve the performance of Internet business. The thesis presents the web analytics and the tool Google Analytics in general; it describes the setup and customization of the tracking code and finally it provides a short guide on how to read the visualized data. In the practical part it explores the web content of the Dobra vína's site and its technical aspects, after this it presents the specific settings of Google Analytics for the site and the final chapters analyze the data obtained from Google Analytics and propose adequate measures to take.
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