000			02966nam a2200265 4500
001			394102
090			_a394102
100			_a20160912d2016 y0pory50 ba
101			_aeng
200			_aAlgorithms and methods for organised cybercrime analysis _bRecurso eletrónico _fJan William Johnsen
210			_aGjovik _c[s.n.] _d2016
215			_a1 CD-ROM _d12 cm
300			_aTese de mestrado em "Information Security" apresentada à "Norwegian University of Science and Technology", tendo como orientadores Katrin Franke, Slobodan Petrovic. Ficheiro de 2,16 MB em formato PDF (146 p.).
330			_aContents. Preface. Acknowledgment. Abstract. Abbreviations. Glossary. Contents. List of Figures. List of Tables. Listings. 1 Introduction. 1.1 Topics covered by the project. 1.2 Keywords. 1.3 Problem description. 1.4 Justification, motivation and benefits. 1.5 Research questions. 1.6 Contributions. 1.7 Thesis outline. 2 Background. 2.1 Organised crime. 2.1.1 Organised crime groups typology. 2.1.2 Organised crime analysis. 2.2 Machine learning. 2.2.1 Machine learning methods. 2.2.2 Features and feature quality. 2.2.3 Data preprocessing methods. 2.2.4 Applications and challenges. 2.3 Graph theory. 2.3.1 Vertex degree. 2.3.2 Subgraph. 2.3.3 Graph representation. 2.4 Social network analysis. 2.4.1 Levels of analysis. 2.4.2 Graph construction approaches. 2.4.3 Applications and challenges. 2.5 Summary. 3 Previous work. 4 Choice of methods. 4.1 Dataset. 4.1.1 Randomly generated datasets. 4.1.2 Enron-email corpus dataset. 4.2 Pre-processing. 4.3 Experimental design. 4.3.1 Features for identification of individuals and groups. 4.3.2 Graph-based construction techniques for digital forensics. 5 Experiments. 5.1 Experimental design and environment setup. 5.1.1 Dataset. 5.1.2 Dataset validation. 5.2 Experiment execution. 5.2.1 Features for identification of individuals and groups. 5.2.2 Graph-based construction techniques for digital forensics. 5.3 Experiment results. 5.3.1 Results of Social Network Analysis. 5.3.2 Results of graph-based construction techniques. 5.4 Experiment discussion. 5.4.1 Features for identification of individuals and groups. 5.4.2 Graph-based construction techniques for digital forensics. 6 Discussion, conclusion and further work. 6.1 Theoretical implications. 6.2 Practical recommendations. 6.3 General discussion. 6.4 Conclusion. 6.5 Further work. Bibliography. A Enron employee list. B Complete graphs. C Social network analysis results. D Graph construction results. E SQL table export. F Enron social network analysis. G Graph construction.
606			_aCRIME ORGANIZADO _9225700
606			_aCRIME VIA INTERNET _9322772
606			_aREDE CRIMINOSA _9347107
606			_aANÁLISE CRIMINAL _9321724
606			_aINFORMAÇÃO CRIMINAL _9321297
606			_aTESE _9334284
606			_aNORUEGA _9334326
700			_aJOHNSEN _bJan William _9358207
955			_xOferta