Tidsskriftspublikasjoner

• Alendal, Gunnar; Axelsson, Stefan; Dyrkolbotn, Geir Olav. (2021) Chip chop — smashing the mobile phone secure chip for fun and digital forensics. Forensic Science International: Digital Investigation. vol. 37.
• Alendal, Gunnar; Axelsson, Stefan; Dyrkolbotn, Geir Olav. (2021) LEVERAGING THE USB POWER DELIVERY IMPLEMENTATION FOR DIGITAL FORENSIC ACQUISITION. IFIP Advances in Information and Communication Technology.
• Alendal, Gunnar; Dyrkolbotn, Geir Olav; Axelsson, Stefan. (2021) DIGITAL FORENSIC ACQUISITION KILL CHAIN – ANALYSIS AND DEMONSTRATION. IFIP Advances in Information and Communication Technology.
• Nordvik, Rune; Stoykova, Radina Raychova; Franke, Katrin; Axelsson, Stefan; Toolan, Fergus. (2021) Reliability validation for file system interpretation. Forensic Science International: Digital Investigation. vol. 37.
• Porter, Kyle; Nordvik, Rune; Toolan, Fergus; Axelsson, Stefan. (2021) Timestamp prefix carving for filesystem metadata extraction. Forensic Science International: Digital Investigation. vol. 38.
• Karresand, Nils Martin Mikael; Dyrkolbotn, Geir Olav; Axelsson, Stefan. (2020) An Empirical Study of the NTFS Cluster Allocation Behavior Over Time. Forensic Science International: Digital Investigation. vol. 33.
• Nordvik, Rune; Porter, Kyle; Toolan, Fergus; Axelsson, Stefan; Franke, Katrin. (2020) Generic Metadata Time Carving. Forensic Science International: Digital Investigation. vol. 33.
• Alendal, Gunnar; Axelsson, Stefan; Dyrkolbotn, Geir Olav. (2019) Exploiting Vendor-Defined Messages in the USB Power Delivery Protocol. IFIP Advances in Information and Communication Technology. vol. 569.
• Gray, Struan; Axelsson, Stefan. (2019) Digital forensic atomic force microscopy of semiconductor memory arrays. IFIP Advances in Information and Communication Technology. vol. 569.
• Karresand, Nils Martin Mikael; Axelsson, Stefan; Dyrkolbotn, Geir Olav. (2019) Disk Cluster Allocation Behavior in Windows and NTFS. Mobile Networks and Applications.
• Karresand, Nils Martin Mikael; Axelsson, Stefan; Dyrkolbotn, Geir Olav. (2019) Using NTFS cluster allocation behavior to find the location of user data. Digital Investigation. The International Journal of Digital Forensics and Incident Response. vol. 29.
• Karresand, Nils Martin Mikael; Warnqvist, Asalena; Lindahl, David; Axelsson, Stefan; Dyrkolbotn, Geir Olav. (2019) Creating a map of user data in NTFS to improve file carving. IFIP Advances in Information and Communication Technology. vol. 569.
• Nordvik, Rune; Georges, Henry; Toolan, Fergus; Axelsson, Stefan. (2019) Reverse engineering of ReFS. Digital Investigation. The International Journal of Digital Forensics and Incident Response. vol. 30 (September).
• Nordvik, Rune; Toolan, Fergus; Axelsson, Stefan. (2019) Using the object ID index as an investigative approach for NTFS file systems. Digital Investigation. The International Journal of Digital Forensics and Incident Response. vol. 28.
• Alendal, Gunnar; Dyrkolbotn, Geir Olav; Axelsson, Stefan. (2018) Forensics Acquisition — Analysis and Circumvention of Samsung Secure Boot enforced Common Criteria Mode. Digital Investigation. The International Journal of Digital Forensics and Incident Response. vol. 24.
• Lopez Rojas, Edgar Alonso; Axelsson, Stefan; Baca, Dejan. (2018) Analysis of fraud controls using the PaySim financial simulator. International Journal of Simulation and Process Modelling. vol. 13 (4).
• Piatkivskyi, Dmytro; Axelsson, Stefan; Nowostawski, Mariusz. (2017) Digital forensic implications of collusion attacks on the lightning network. IFIP Advances in Information and Communication Technology. vol. 511.

Del av bok/rapport

• Axelsson, Stefan. (2017) Educational Guide. Digital forensics.
• Hansen, Hallstein Asheim; Andersen, Stig; Axelsson, Stefan; Hopland, Svein. (2017) Case Study: A New Method for Investigating Crimes Against Children. Proceedings of the 2017 Annual Conference on Digital Forensics, Security, and Law (ADFSL) (In press).
• Lopez-Rojas, Edgar Alonso; Axelsson, Stefan. (2016) A Review of Computer Simulation for Fraud Detection Research in Financial Datasets. 2016 Future Technologies Conference (FTC)- Proceedings.