{"type":"ScholarlyArticle","title":"Fuzzy Logic Model for Digital Forensics: A Trade-off between Accuracy, Complexity and Interpretability","authors":[{"name":"Andrii Shalaginov","slug":"andrii-shalaginov","given":"Andrii","family":"Shalaginov","affiliation":"Center for Cyber-and Information Security , Norwegian University of Science and Technology"}],"abstract":"The Cyber Crime Investigation is challenged by large and complex data as a key factor of emerging Information and Communication Technologies. The size, the velocity, the variety and the complexity of the data have become so high that data mining approaches are no more efficient since they cannot deal with Big Data. As a result, it can be infeasible to represent specific evidences found in such data in a Court of Law in a human-perceivable manner. Moreover, majority of computational methods result in complex and hardly explainable models. However, Soft Computing, a computing with words, can be beneficial in such case. In particular, hybrid Neuro-Fuzzy is capable of learning understandable and precise fuzzy rule-based model. This paper presents novel improvements of NF architecture and corresponding results.","doi":"10.24963/ijcai.2017/763","url":"https://ijcai.org/proceedings/2017/763","pdf":"https://ijcai.org/proceedings/2017/0763.pdf","markdown":"https://ijcai.org/proceedings/2017/763.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/763","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Doctoral Consortium","track":"Doctoral Consortium","number":763,"pages":{"first":5207,"last":5208},"keywords":["Artificial Intelligence: uncertainty in artificial intelligence","Artificial Intelligence: knowledge representation","Artificial Intelligence: human computer interaction","Artificial Intelligence: machine learning"],"videos":[],"references":[{"position":1,"raw":"[Feldman and O'Connor, 2001] Elliott R Feldman and Es- quire Cozen O'Connor. Criteria for admissibility of expert opinion testimony under daubert and its progeny. Techni- cal report, Tech. rep, Cozen O'Connor, 2001.","title":"Criteria for admissibility of expert opinion testimony under daubert and its progeny","authors":"O'connor ; Feldman, R Elliott, Esquire Feldman, O' Cozen, Connor","year":"2001","venue":null,"doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Kosko, 1996] Bart Kosko. Fuzzy engineering. Prentice- Hall, Inc., 1996.","title":"Fuzzy engineering","authors":"Bart Kosko","year":"1996","venue":null,"doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[McKemmish, 2008] Rodney McKemmish. When is digital evidence forensically sound? In IFIP -The Interna- tional Federation for Information Processing, pages 3-15. Springer Science+Business Media, 2008.","title":"When is digital evidence forensically sound?","authors":"Rodney Mckemmish","year":"2008","venue":"IFIP -The International Federation for Information Processing","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Shalaginov and Franke, 2015a] Andrii Shalaginov and Ka- trin Franke. Automated generation of fuzzy rules from large-scale network traffic analysis in digital forensics in- vestigations. In 7th International Conference on Soft Com- puting and Pattern Recognition (SoCPaR 2015). IEEE, 2015.","title":"Andrii Shalaginov and Katrin Franke. Automated generation of fuzzy rules from large-scale network traffic analysis in digital forensics investigations","authors":"Franke Shalaginov","year":"2015","venue":"7th International Conference on Soft Computing and Pattern Recognition","doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Shalaginov and Franke, 2015b] Andrii Shalaginov and Ka- trin Franke. A new method for an optimal som size de- termination in neuro-fuzzy for the digital forensics appli- cations. In International Work-Conference on Artificial Neural Networks, pages 549-563. Springer International Publishing, 2015.","title":"Andrii Shalaginov and Katrin Franke. A new method for an optimal som size determination in neuro-fuzzy for the digital forensics applications","authors":"Franke Shalaginov","year":"2015","venue":"International Work-Conference on Artificial Neural Networks","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Shalaginov and Franke, 2015c] Andrii Shalaginov and Ka- trin Franke. A new method of fuzzy patches construction in neuro-fuzzy for malware detection. In IFSA-EUSFLAT. Atlantis Press, 2015.","title":"Andrii Shalaginov and Katrin Franke. A new method of fuzzy patches construction in neuro-fuzzy for malware detection","authors":"Franke Shalaginov","year":"2015","venue":"IFSA-EUSFLAT","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Shalaginov et al., 2016] Andrii Shalaginov, Lars Strande Grini, and Katrin Franke. Understanding neuro-fuzzy on a class of multinomial malware detection problems. In International Joint Conference on Neural Networks (IJCNN) 2016, pages 684-691. Research Publishing Ser- vices, 2016.","title":"Understanding neuro-fuzzy on a class of multinomial malware detection problems","authors":"Andrii Shalaginov, Lars Strande Grini, Katrin Franke","year":"2016","venue":"International Joint Conference on Neural Networks (IJCNN) 2016","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Vesanto et al., 2000] Juha Vesanto, Johan Himberg, Esa Al- honiemi, and Juha Parhankangas. Self-organizing map in matlab: the som toolbox. In In Proceedings of the Matlab DSP Conference, pages 35-40, 2000.","title":"Self-organizing map in matlab: the som toolbox","authors":"Juha Vesanto, Johan Himberg, Esa Alhoniemi, Juha Parhankangas","year":"2000","venue":"Proceedings of the Matlab DSP Conference","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}