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Facebook Social Network Datamining and Reconstruction of Captured Communication
Bruckner, Tomáš ; Kmeť, Martin (referee) ; Pluskal, Jan (advisor)
This thesis deals with social network Facebook from perspective of computer forensic science with focus on obtaining sensitive information about tracked users. Its main goal is implementation of the tools for reconstruction of captured communication and Facebook data mining. Core of this application has been implemented in framework for processing of captured communication Netfox.Framework, which is being developed by Faculty of Information Technology, Brno University of Technology. Man-in-the-Middle attack has been used for capturing of decipherable communication. Selenium WebDriver has been used as a tool for data mining. Developed solution is able to reconstruct Facebook conversations between users, addition of new statuses and comments, and interception of sent files. Data mining module is able to obtain public information about tracked users, especially places they recently visited, past and upcoming events, public user details, albums and photos, friendlists and mutual friends with other users. As part of the bachelor thesis, data analysis, implementation of the application, validity testing and benchmark analysis have been performed.
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Waste flows modelling and assessment of their treatment
Kolátor, Matyáš ; Smejkalová, Veronika (referee) ; Pluskal, Jaroslav (advisor)
The thesis deals with the description, analysis and reconstruction of waste evidence. Nowadays, more and more emphasis is put on the issue of waste management and its efficient use. Legislation has set demanding targets for increased waste recovery and the development of a circular economy. In order to achieve these objectives, it is necessary to plan and organize the structure of waste management strategically. Important decisions in the field of waste management are based on data and the production and processing of waste. The quality of waste data has a major impact on the success of the process. The aim of this thesis is to describe the system of record, but also the possibilities of improving and reconstructing invalid data. The core of the work is the testing and improvement of a data reconciliation tool REVEDATO developed at the Institute of Process Engineering. The computational tool is based on the mathematical apparatus of data balancing, for which the correct definition of the weights is crucial, which will be the main subject of the work.
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Facebook Social Network Datamining and Reconstruction of Captured Communication
Bruckner, Tomáš ; Kmeť, Martin (referee) ; Pluskal, Jan (advisor)
This thesis deals with social network Facebook from perspective of computer forensic science with focus on obtaining sensitive information about tracked users. Its main goal is implementation of the tools for reconstruction of captured communication and Facebook data mining. Core of this application has been implemented in framework for processing of captured communication Netfox.Framework, which is being developed by Faculty of Information Technology, Brno University of Technology. Man-in-the-Middle attack has been used for capturing of decipherable communication. Selenium WebDriver has been used as a tool for data mining. Developed solution is able to reconstruct Facebook conversations between users, addition of new statuses and comments, and interception of sent files. Data mining module is able to obtain public information about tracked users, especially places they recently visited, past and upcoming events, public user details, albums and photos, friendlists and mutual friends with other users. As part of the bachelor thesis, data analysis, implementation of the application, validity testing and benchmark analysis have been performed.
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