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Pedestrian Attribute Analysis
Studená, Zuzana ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This work deals with obtaining pedestrian information, which are captured by static, external cameras located in public, outdoor or indoor spaces. The aim is to obtain as much information as possible. Information such as gender, age and type of clothing, accessories, fashion style, or overall personality are obtained using using convolutional neural networks. One part of the work consists of creating a new dataset that captures pedestrians and includes information about the person's sex, age, and fashion style. Another part of the thesis is the design and implementation of convolutional neural networks, which classify the mentioned pedestrian characteristics. Neural networks evaluate pedestrian input images in PETA, FashionStyle14 and BUT Pedestrian Attributes datasets. Experiments performed over the PETA and FashionStyle datasets compare my results to various convolutional neural networks described in publications. Further experiments are shown on created BUT data set of pedestrian attributes.
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Pedestrian Attribute Analysis
Studená, Zuzana ; Špaňhel, Jakub (referee) ; Hradiš, Michal (advisor)
This work deals with obtaining pedestrian information, which are captured by static, external cameras located in public, outdoor or indoor spaces. The aim is to obtain as much information as possible. Information such as gender, age and type of clothing, accessories, fashion style, or overall personality are obtained using using convolutional neural networks. One part of the work consists of creating a new dataset that captures pedestrians and includes information about the person's sex, age, and fashion style. Another part of the thesis is the design and implementation of convolutional neural networks, which classify the mentioned pedestrian characteristics. Neural networks evaluate pedestrian input images in PETA, FashionStyle14 and BUT Pedestrian Attributes datasets. Experiments performed over the PETA and FashionStyle datasets compare my results to various convolutional neural networks described in publications. Further experiments are shown on created BUT data set of pedestrian attributes.
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Web Application Penetration Testing
Hric, Michal ; Čermák, Igor (advisor) ; Hlaváč, Jindřich (referee)
The aim of the present thesis was to analyze the level of security of select open-source web applications based on penetration testing at various stages of testing, defined by the PTES methodology. This included application of new PETA methodology to perform web application penetration testing and the creation of new knowledge objects concerning penetration testing in the MBI portal. The open-source web applications Juice Shop, NodeGoat, XVWA and bWAPP were tested. The security of the web applications was evaluated as insufficient as at least one vulnerability with a high risk of exploitation was identified for each of the tested applications. For each vulnerability found in the application, recommended corrective measures to eliminate the associated risk is stated. When using the PETA methodology for penetration testing, the benefit was mainly in integrating of penetration testing in the context of IS/IT management in an organization based on application of the narrowed framework for IS/IT management. Finally, new knowledge objects in the MBI portal are listed and described. Objects created include a task concerning the process of penetration testing, a set of metrics for evaluating the success of penetration testing and roles linked to the task.
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Information systems security penetration testing
Klíma, Tomáš ; Doucek, Petr (advisor) ; Čermák, Igor (referee) ; Čapek, Jan (referee) ; Štubňa, Ivan (referee)
The aim of this dissertation thesis is to develop new methodology of information systems penetration testing based on analysis of current methodologies and the role of penetration tests in context of IS/IT governance. Integral part of this aim is evaluation of the methodology. The first part of the thesis is devoted to the presentation of history and current state of research in selected area, definiton of basic terms and introduction of role of the penetration tests. This part is followed by the review of relevant sources and comparative study of current methodologies with a goal to identify their weaknesses. Results from this study are further used as a basis for new methodology development. Classification of IS penetration tests types and testing scenarios are also included. The second part includes design of new methodology, at first its history, structure and principles are presented, then its framework is decribed in high level of detail. In the third part the reader can find (theoretical and practical) validation. The biggest scientific contribution is the methodology itself focused on managment of penetration tests (which is the area currently not sufficiently descibed). Secondary contribution is the extensive review and the comparative analysis of current methodologies. Contribution to the economic and technical (practical) application we can mainly see in the development of new methodology which enables companies to improve management of penetration tests (especially planning, operational management and implementation of countermeasures).
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