27 citations · 45 across the 11 of their papers we have counts for
11 papers
Strategies and Challenges of Timestamp Tampering for Improved Digital Forensic Event Reconstruction (extended version)
Céline Vanini, Jan Gruber, Christopher Hargreaves +3
Timestamps play a pivotal role in digital forensic event reconstruction, but due to their non-essential nature, tampering or manipulation of timestamps is possible by users in mult…
Evaluating tamper resistance of digital forensic artifacts during event reconstruction
Céline Vanini, Chris Hargreaves, Frank Breitinger
Event reconstruction is a fundamental part of the digital forensic process, helping to answer key questions like who, what, when, and how. A common way of accomplishing that is to…
Exploring the Potential of Large Language Models for Improving Digital Forensic Investigation Efficiency
Akila Wickramasekara, Frank Breitinger, Mark Scanlon
The ever-increasing workload of digital forensic labs raises concerns about law enforcement's ability to conduct both cyber-related and non-cyber-related investigations promptly. C…
ChatGPT, Llama, can you write my report? An experiment on assisted digital forensics reports written using (Local) Large Language Models
Gaëtan Michelet, Frank Breitinger
Generative AIs, especially Large Language Models (LLMs) such as ChatGPT or Llama, have advanced significantly, positioning them as valuable tools for digital forensics. While initi…
DFRWS EU 10-Year Review and Future Directions in Digital Forensic Research
Frank Breitinger, Jan-Niclas Hilgert, Christopher Hargreaves +3
Conducting a systematic literature review and comprehensive analysis, this paper surveys all 135 peer-reviewed articles published at the Digital Forensics Research Conference Europ…
As if Time Had Stopped -- Checking Memory Dumps for Quasi-Instantaneous Consistency
Jenny Ottmann, Üsame Cengiz, Frank Breitinger +1
Memory dumps that are acquired while the system is running often contain inconsistencies like page smearing which hamper the analysis. One possibility to avoid inconsistencies is t…
Identifying document similarity using a fast estimation of the Levenshtein Distance based on compression and signatures
Peter Coates, Frank Breitinger
Identifying document similarity has many applications, e.g., source code analysis or plagiarism detection. However, identifying similarities is not trivial and can be time complex.…
ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown
Mark Scanlon, Frank Breitinger, Christopher Hargreaves +2
The disruptive application of ChatGPT (GPT-3.5, GPT-4) to a variety of domains has become a topic of much discussion in the scientific community and society at large. Large Languag…
Teaching Blockchain in K9-12: Instruction materials and their assessment
Leo Irudayam, Frank Breitinger
This paper analyses the feasibility of including emerging IT-topics into secondary education (K9-12). We developed a class on Blockchain for K9-12 students which delivers relevant…
Towards AI Forensics: Did the Artificial Intelligence System Do It?
Johannes Schneider, Frank Breitinger
Artificial intelligence (AI) makes decisions impacting our daily lives in an increasingly autonomous manner. Their actions might cause accidents, harm, or, more generally, violate…
Hierarchical Bloom Filter Trees for Approximate Matching
David Lillis, Frank Breitinger, Mark Scanlon
Bytewise approximate matching algorithms have in recent years shown significant promise in de- tecting files that are similar at the byte level. This is very useful for digital for…