2023
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1. |
Banin, Sergii. Malware detection and classification using low-level features. Norges teknisk-naturvitenskapelige universitet 2023 (ISBN 978-82-326-6061-2) ;Volum 2023.263 s. Doktoravhandlinger ved NTNU(11) NTNU
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2. |
Geradts, Zeno J.M.H.; Franke, Katrin. Artificial Intelligence (AI) in Forensic Sciences. John Wiley & Sons 2023 (ISBN 978-1-119-81334-7) 256 s. NTNU
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3. |
Heitmann, Odin; Franke, Katrin. Exploring Digital Forensic Readiness: A Preliminary Study from a Law Enforcement Perspective. NIKT: Norsk IKT-konferanse for forskning og utdanning 2023 (3) s. - NTNU
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4. |
Heitmann, Odin; Franke, Katrin. Systematically assessing the competence level of digital evidence handling. NIKT: Norsk IKT-konferanse for forskning og utdanning 2023 NTNU
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5. |
Sandvik, Jens-Petter; Franke, Katrin; Abie, Habtamu; Årnes, Andre. Evidence in the fog – Triage in fog computing systems. Forensic Science International: Digital Investigation 2023 ;Volum 44. s. 1-11 NTNU NR
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6. |
Sharma, Arvind; Dyrkolbotn, Geir Olav; Øverlier, Lasse; Waltoft-Olsen, Andrè Jung; Franke, Katrin; Katsikas, Sokratis. A State-of-the-Art Reverse Engineering Approach for Combating Hardware Security Vulnerabilities at the System and PCB Level in IoT Devices. IEEE-Physical Assurance and Inspection of Electronics (PAINE-2022),USA. IEEE Xplore Digital Library 2023 s. 1-7 NTNU
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7. |
Stoykova, Radina; Franke, Katrin. Reliability validation enabling framework (RVEF) for digital forensics in criminal investigations. Forensic Science International: Digital Investigation 2023 ;Volum 45. s. - NTNU
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2022
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8. |
Johnsen, Jan William. Interdisciplinary approach to criminal network analysis: Opportunities and challenges. Gjøvik: NTNU 2022 (ISBN 978-82-326-5817-6) 317 s. NTNU
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9. |
Sandvik, Jens-Petter; Franke, Katrin; Abie, Habtamu; Årnes, Andrè. Quantifying data volatility for IoT forensics with examples from Contiki OS. Forensic Science International: Digital Investigation 2022 ;Volum 40. NTNU NR
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10. |
Stoykova, Radina; Andersen, Stig; Franke, Katrin; Axelsson, Stefan. Reliability assessment of digital forensic investigations in the Norwegian police. Forensic Science International: Digital Investigation 2022 ;Volum 40. NTNU
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11. |
Stoykova, Radina; Nordvik, Rune; Ahmed, Munnazzar; Franke, Katrin; Axelsson, Stefan; Toolan, Fergus. Legal and technical questions of file system reverse engineering. Computer Law and Security Review 2022 ;Volum 46. s. - NTNU PHS
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2021
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12. |
Nordvik, Rune; Stoykova, Radina Raychova; Franke, Katrin; Axelsson, Stefan; Toolan, Fergus. Reliability validation for file system interpretation. Forensic Science International: Digital Investigation 2021 ;Volum 37. s. 1-14 NTNU PHS
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13. |
Sandvik, Jens-Petter; Franke, Katrin; Abie, Habtamu; Årnes, Andrè. Coffee forensics — Reconstructing data in IoT devices running Contiki OS. Forensic Science International: Digital Investigation 2021 ;Volum 37. Suppl. 1 s. - NR NTNU
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14. |
Sandvik, Jens-Petter; Franke, Katrin; Årnes, Andrè. Towards a Generic Approach of Quantifying Evidence Volatility in Resource Constrained Devices. I: Digital Forensic Investigation of Internet of Things (IoT) Devices. Springer 2021 ISBN 978-3-030-60424-0. s. 21-45 NTNU
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2020
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15. |
Johnsen, Jan William; Franke, Katrin. Identifying Proficient Cybercriminals Through Text and Network Analysis. I: 2020 IEEE International Conference on Intelligence and Security Informatics (ISI). IEEE conference proceedings 2020 ISBN 978-1-7281-8800-3. s. - NTNU
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16. |
Nordvik, Rune; Porter, Kyle; Toolan, Fergus; Axelsson, Stefan; Franke, Katrin. Generic Metadata Time Carving. Forensic Science International: Digital Investigation 2020 ;Volum 33. Suppl. July NTNU PHS
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17. |
Stoykova, Radina Raychova; Franke, Katrin. Standard Representation for Digital Forensic Processing. I: 2020 13th International Conference on Systematic Approaches to Digital Forensic Engineering (SADFE). IEEE conference proceedings 2020 ISBN 978-1-7281-9459-2. s. 46-56 NTNU
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2019
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18. |
Agarwal, Vinti; Hubballi, Neminath; Chitrakar, Ambika Shrestha; Franke, Katrin. Identifying Anomalous HTTP Traffic with Association Rule Mining. International Symposium on Advanced Networks and Telecommunication Systems (ANTS) 2019 ;Volum 2019-. s. - NTNU
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19. |
Johnsen, Jan William; Franke, Katrin. The impact of preprocessing in natural language for open source intelligence and criminal investigation. IEEE International Conference on Big Data (Big Data) 2019 s. 4248-4254 NTNU
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2018
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20. |
Conti, Mauro; Dehghantanha, Ali; Franke, Katrin; Watson, Steve. Internet of Things security and forensics: Challenges and opportunities. Future Generation Computer Systems 2018 ;Volum 78. s. 544-546 NTNU
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21. |
Deliu, Isuf; Leichter, Carl Stuart; Franke, Katrin. Collecting Cyber Threat Intelligence from Hacker Forums via a Two-Stage, Hybrid Process using Support Vector Machines and Latent Dirichlet Allocation. I: 2018 IEEE International Conference on Big Data (Big Data), Seattle, 10-13 Dec. 2018. IEEE 2018 ISBN 978-1-5386-5035-6. s. 5008-5013 NTNU
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22. |
Hansen, Joachim; Porter, Kyle; Shalaginov, Andrii; Franke, Katrin. Comparing Open Source Search Engine Functionality, Efficiency and Effectiveness with Respect to Digital Forensic Search. Norsk Informasjonssikkerhetskonferanse (NISK) 2018 ;Volum 11. NTNU
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23. |
Johnsen, Jan William; Franke, Katrin. Digital Forensics Report for Dagens Næringsliv. Norges teknisk-naturvitenskapelige universitet 2018 NTNU
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24. |
Johnsen, Jan William; Franke, Katrin. Identifying Central Individuals in Organised Criminal Groups and Underground Marketplaces. Lecture Notes in Computer Science (LNCS) 2018 ;Volum 10862 LNCS. s. 379-386 NTNU
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25. |
Shalaginov, Andrii; Banin, Sergii; Dehghantanha, Ali; Franke, Katrin. Machine Learning Aided Static Malware Analysis: A Survey and Tutorial. I: Cyber Threat Intelligence. Springer 2018 ISBN 978-3-319-73951-9. s. 7-45 NTNU
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26. |
Shalaginov, Andrii; Franke, Katrin; Johnsen, Jan William. The 2nd International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2018. IEEE International Conference on Big Data 2018; 2018-12-10 - 2018-12-13 NTNU
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2017
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27. |
Deliu, Isuf; Leichter, Carl Stuart; Franke, Katrin. Extracting cyber threat intelligence from hacker forums: Support vector machines versus convolutional neural networks. I: IEEE Big Data 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2017. IEEE (Institute of Electrical and Electronics Engineers) 2017 ISBN 978-1-5386-2715-0. s. 3648-3656 NTNU
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28. |
Franke, Katrin; Årnes, Andrè. Challenges in Digital Forensics. I: Digital forensics. John Wiley & Sons 2017 ISBN 9781119262381. s. 313-317 NTNU
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29. |
Johnsen, Jan William; Franke, Katrin. Feasibility Study of Social Network Analysis on Loosely Structured Communication Networks. Procedia Computer Science 2017 ;Volum 108. s. 2388-2392 NTNU
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30. |
Lopez-Rojas, Edgar Alonso; Franke, Katrin. Bootstrapping the Paysim Financial Simulator for Open Source. I: THE 29TH EUROPEAN MODELING & SIMULATION SYMPOSIUM (EMSS 2017). Genoa, Italy: DIME UNIVERSITY OF GENOA 2017 ISBN 978-88-97999-85-0. s. 296-302 NTNU
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31. |
Shalaginov, Andrii; Franke, Katrin. A Deep Neuro-Fuzzy method for multi-label malware classification and fuzzy rules extraction. I: 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE 2017 ISBN 978-1-5386-2726-6. s. 533-540 NTNU
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32. |
Shalaginov, Andrii; Franke, Katrin. Big data analytics by automated generation of fuzzy rules for Network Forensics Readiness. Applied Soft Computing 2017 ;Volum 52. s. 359-375 NTNU
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33. |
Shalaginov, Andrii; Franke, Katrin; Johnsen, Jan William. IEEE Big Data 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2017. IEEE 2017 (ISBN 978-1-5386-2715-0) NTNU UiO
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34. |
Shalaginov, Andrii; Johnsen, Jan William; Franke, Katrin. Cyber crime investigations in the era of big data. I: IEEE Big Data 1st International Workshop on Big Data Analytic for Cyber Crime Investigation and Prevention 2017. IEEE (Institute of Electrical and Electronics Engineers) 2017 ISBN 978-1-5386-2715-0. s. 3672-3676 NTNU
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2016
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35. |
Andersen, Lars Christian; Franke, Katrin; Shalaginov, Andrii. Data-driven Approach to Information Sharing using Data Fusion and Machine Learning for Intrusion Detection. Norsk Informasjonssikkerhetskonferanse (NISK) 2016 ;Volum 2016. s. 19-30 NTNU
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36. |
Banin, Sergii; Shalaginov, Andrii; Franke, Katrin. Memory access patterns for malware detection. Norsk Informasjonssikkerhetskonferanse (NISK) 2016 ;Volum 2016. s. 96-107 NTNU
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37. |
Shalaginov, Andrii; Franke, Katrin. Intelligent generation of fuzzy rules for network firewalls based on the analysis of large-scale network traffic dumps. International Journal of Hybrid Intelligent Systems 2016 ;Volum 13.(3-4) s. 195-206 NTNU
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38. |
Shalaginov, Andrii; Franke, Katrin. Multinomial classification of web attacks using improved fuzzy rules learning by Neuro-Fuzzy. International Journal of Hybrid Intelligent Systems 2016 ;Volum 13.(1) s. 15-26 NTNU
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39. |
Shalaginov, Andrii; Franke, Katrin; Huang, Xiongwei. Malware Beaconing Detection by Mining Large-scale DNS Logs for Targeted Attack Identification. International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering 2016 ;Volum 10.(4) s. 617-629 NTNU
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40. |
Shalaginov, Andrii; Grini, Lars Strande; Franke, Katrin. Understanding Neuro-Fuzzy on a Class of Multinomial Malware Detection Problems. I: IEEE International Joint Conference on Neural Networks (IJCNN). Research Publishing Services 2016 ISBN 978-1-5090-0619-9. s. 684-691 NTNU
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2015
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41. |
Shalaginov, Andrii; Franke, Katrin. A New Method for an Optimal SOM Size Determination in Neuro-Fuzzy for the Digital Forensics Applications. I: Advances in Computational Intelligence; 13th International Work-Conference on Artificial Neural Networks, IWANN 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part II. Springer 2015 ISBN 978-3-319-19222-2. s. 549-563 NTNU
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42. |
Shalaginov, Andrii; Franke, Katrin. A new method of fuzzy patches construction in Neuro-Fuzzy for malware detection. I: Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology, Eusflat-15. Atlantis Press 2015 ISBN 978-94-62520-77-6. s. 170-177 NTNU
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43. |
Shalaginov, Andrii; Franke, Katrin. Automated generation of fuzzy rules from large-scale network traffic analysis in Digital Forensics Investigations. I: 2015 Seventh International Conference of Soft Computing and Pattern Recognition (SoCPaR 2015). IEEE 2015 ISBN 978-1-4673-9360-7. s. 31-36 NTNU
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44. |
Shalaginov, Andrii; Franke, Katrin. Generation of the human-understandable fuzzy rules from large-scale datasets for Digital Forensics applications using Neuro-Fuzzy. NordSec; 2015-10-19 - 2015-10-21 NTNU
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45. |
Shalaginov, Andrii; Franke, Katrin. Towards Improvement of Multinomial Classification Accuracy of Neuro-Fuzzy for Digital Forensics Applications. I: Hybrid Intelligent Systems - proceedings of 15th International Conference HIS 2015 on Hybrid Intelligent Systems. Springer Publishing Company 2015 ISBN 978-3-319-27220-7. s. 199-210 NTNU
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2014
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46. |
Bjelland, Petter Christian; Franke, Katrin; Årnes, Andre. Practical use of Approximate Hash Based Matching in digital investigations. Digital Investigation. The International Journal of Digital Forensics and Incident Response 2014 ;Volum 11.(May) Suppl. 1 s. S18-S26 NTNU
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47. |
Dehghantanha, Ali; Franke, Katrin. Privacy-respecting digital investigation. I: 2014 Twelfth Annual Conference on Privacy, Security and Trust; Ryerson University, Toronto, Canada; July 23-24, 2014. IEEE conference proceedings 2014 ISBN 978-1-4799-3503-1. s. 129-138 NTNU
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2013
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48. |
Chitrakar, Ambika Shrestha; Franke, Katrin. Author Identification from Text-based Communications: Identifying generalized features and computational methods. I: Proceeding of Norwegian Information Security Conference / Norsk informasjonssikkerhetskonferanse - NISK 2013 - Stavanger, 18th-20th November 2013. Akademika forlag 2013 ISBN 978-82-321-0366-9. s. 37-48 NTNU
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49. |
Franke, Katrin; Hjelmås, Erik; Wolthusen, Stephen. Advancing Digital Forensics. I: Information Assurance and Security Education and Training. Springer 2013 ISBN 978-3-642-39377-8. s. 288-295 NTNU
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50. |
Nguyen, Hai Thanh; Torrano-Gimenez, Carmen; Alvarez, Gonzalo; Franke, Katrin; Petrovic, Slobodan. Enhancing the effectiveness of Web Application Firewalls by generic feature selection. Logic Journal of the IGPL 2013 ;Volum 21.(4) s. 560-570 NTNU
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