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Localization of People in the Building
Randýsek, Vojtěch ; Orság, Filip (referee) ; Sakin, Martin (advisor)
The aim of this thesis is to create a personal indoor positioning system. In this work, new systembasedonaBluetoothtechnologyisproposed.Personlocalizationisaccomplishedby usingthefingerprintingmethod.Proposedsystemconsistsofadatabase,awebapplication, a hardware layer and communication services. For the purpose of demonstration of the proposed system a video was made. System in the video, using propsed methods, gained standard accuracy of 2.46 m and standard deviation of 2 m. These results show that the combination of used technology leads to a succesful localization of people in buildings.
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Detecting JavaScript Code with Known Vulnerabilites
Randýsek, Vojtěch ; Jeřábek, Kamil (referee) ; Polčák, Libor (advisor)
This thesis deals with the detection of vulnerable JavaScript libraries and NPM packages. Based on existing studies, it summarizes the technological core of the Node.js platform and further focuses on selected vulnerabilities of the NPM system and existing means of protection. A Chrome browser extension able to detect and fix JavaScript code with known vulnerabilities on the web browser had been introduced. The tool was tested in a crawl of 50 000 websites. 8 129 vulnerable scripts were detected. The extension has been published to the Chrome Web Store as JS Vulnerability Detector .
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Detecting JavaScript Code with Known Vulnerabilites
Randýsek, Vojtěch ; Jeřábek, Kamil (referee) ; Polčák, Libor (advisor)
This thesis deals with the detection of vulnerable JavaScript libraries and NPM packages. Based on existing studies, it summarizes the technological core of the Node.js platform and further focuses on selected vulnerabilities of the NPM system and existing means of protection. A Chrome browser extension able to detect and fix JavaScript code with known vulnerabilities on the web browser had been introduced. The tool was tested in a crawl of 50 000 websites. 8 129 vulnerable scripts were detected. The extension has been published to the Chrome Web Store as JS Vulnerability Detector .
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Localization of People in the Building
Randýsek, Vojtěch ; Orság, Filip (referee) ; Sakin, Martin (advisor)
The aim of this thesis is to create a personal indoor positioning system. In this work, new systembasedonaBluetoothtechnologyisproposed.Personlocalizationisaccomplishedby usingthefingerprintingmethod.Proposedsystemconsistsofadatabase,awebapplication, a hardware layer and communication services. For the purpose of demonstration of the proposed system a video was made. System in the video, using propsed methods, gained standard accuracy of 2.46 m and standard deviation of 2 m. These results show that the combination of used technology leads to a succesful localization of people in buildings.
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