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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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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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