Auflistung nach Schlagwort "Digital forensics"
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- ZeitschriftenartikelDigital Forensics AI: Evaluating, Standardizing and Optimizing Digital Evidence Mining Techniques(KI - Künstliche Intelligenz: Vol. 36, No. 2, 2022) Solanke, Abiodun A.; Biasiotti, Maria AngelaThe impact of AI on numerous sectors of our society and its successes over the years indicate that it can assist in resolving a variety of complex digital forensics investigative problems. Forensics analysis can make use of machine learning models’ pattern detection and recognition capabilities to uncover hidden evidence in digital artifacts that would have been missed if conducted manually. Numerous works have proposed ways for applying AI to digital forensics; nevertheless, scepticism regarding the opacity of AI has impeded the domain’s adequate formalization and standardization. We present three critical instruments necessary for the development of sound machine-driven digital forensics methodologies in this paper. We cover various methods for evaluating, standardizing, and optimizing techniques applicable to artificial intelligence models used in digital forensics. Additionally, we describe several applications of these instruments in digital forensics, emphasizing their strengths and weaknesses that may be critical to the methods’ admissibility in a judicial process.
- TextdokumentA kernel driver modification to visualize and reconstruct data transfer between computer and USB mass storage devices(INFORMATIK 2021, 2021) Zöllner, Joshua; Petschke, Dmitry; Schinner, Alexander; Weber, Kristin; Mayer, ManuelThe aim of this work is to create a completely new method for analysing the physical access to USB mass storage devices and to reconstruct the file access from the logged data. This is achieved by replacing a real USB stick with a full software simulation based on a Raspberry PI Zero using USB gadget mode. To achieve full information, we extended the logging capabilities of the Linux kernel driver. This allows to log position and size of each reading operation at the lowest possible level. For write operation, the written data is logged, too. This enables logging completely independent of the operating system or file system and allows a forensic image to be calculated that has time as an additional dimension. Further advantages of this method are that it is completely undetectable from the host computer and random accesses bypassing a file system can also be logged. A reconstruction of the original file access is shown and the possibilities for new attack vectors are discussed.
- ZeitschriftenartikelMoNA: A Forensic Analysis Platform for Mobile Communication(KI - Künstliche Intelligenz: Vol. 36, No. 2, 2022) Spranger, Michael; Xi, Jian; Jaeckel, Lukas; Felser, Jenny; Labudde, DirkMobile communication devices are a popular means of planning, commissioning and carrying out criminal offenses. In particular, data from messengers such as WhatsApp or Telegram often contain conclusive information. Organized crime also usually involves many devices, but not all of them contain the full history of communication. Rather, it is heavily fragmented due to individual deletions of messages or different joining times to groups. A singular evaluation of individual devices is therefore often not expedient, since important relationships cannot be recognized. Furthermore, communication is often distributed across different channels and modalities and can only be fully and correctly understood through a joint semantic analysis. The linking of related communications of different devices enables an almost complete reconstruction of the communication with a simultaneous reduction in reading effort by merging identical messages. Grouping coherent messages into conversations enables efficient comparison with a knowledge model. Building such a model is complex, but can be supported by a term recommender system. In this paper, MoNA is presented as a platform that implements these approaches and enables an assisted analysis of mobile communications.
- ZeitschriftenartikelSpecial Issue on Application of AI in Digital Forensics(KI - Künstliche Intelligenz: Vol. 36, No. 2, 2022) Fähndrich, Johannes; Honekamp, Wilfried; Povalej, Roman; Rittelmeier, Heiko; Berner, Silvio