02966nam a2200265 4500 394102 394102 20160912d2016 y0pory50 ba eng Algorithms and methods for organised cybercrime analysis Recurso eletrónico Jan William Johnsen Gjovik [s.n.] 2016 1 CD-ROM 12 cm Tese 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.). Contents. 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. CRIME ORGANIZADO 225700 CRIME VIA INTERNET 322772 REDE CRIMINOSA 347107 ANÁLISE CRIMINAL 321724 INFORMAÇÃO CRIMINAL 321297 TESE 334284 NORUEGA 334326 JOHNSEN Jan William 358207 Oferta 0 PJCD_279_000000000000000 2022-06-06 PJCD279 426676 PJ PJ PJ1CD279 PJCD279 2022-06-06 0 MO Oferta