Hans Henseler

dblp:52/8918 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0009-2810-442XORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Security and privacy · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
1 paper
Storage systems · 100%
Network and information security
1 paper
Digital forensics and information hiding · 77% Privacy and data protection · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Digital forensics and information hiding
digital forensics
0.912025
Poor Sanitization Practices and Questionable Digital Evidence: A Comprehensive Study of Scope and Impact of Recycled NAND Flash Chips · IEEE Trans. Dependable Secur. Comput. 2025
Storage systems
flash and SSD
0.912025
Poor Sanitization Practices and Questionable Digital Evidence: A Comprehensive Study of Scope and Impact of Recycled NAND Flash Chips · IEEE Trans. Dependable Secur. Comput. 2025
Storage systems › flash and SSD › flash memory
NAND flash
0.912025
Poor Sanitization Practices and Questionable Digital Evidence: A Comprehensive Study of Scope and Impact of Recycled NAND Flash Chips · IEEE Trans. Dependable Secur. Comput. 2025
Privacy and data protection › anonymization
data sanitization
0.312025
Poor Sanitization Practices and Questionable Digital Evidence: A Comprehensive Study of Scope and Impact of Recycled NAND Flash Chips · IEEE Trans. Dependable Secur. Comput. 2025

Methods — techniques the papers use, named apart from their topics

forensic analysis · 1.7
YearPublicationVenuePosition
2025 Poor Sanitization Practices and Questionable Digital Evidence: A Comprehensive Study of Scope and Impact of Recycled NAND Flash Chips
abstract
In digital forensics, the provenance of data being used as digital evidence in court is frequently challenged. This is often done to raise doubts about whether the possession of some piece of illegal data was intentional. However, there may also be situations where the provenance of data is legitimately questioned, such as in the case of second-hand devices that were not well sanitized. This may also lead to the disclosure of personal or corporate data. While poor sanitization practices have already been observed for second-hand hard disk drives, this has not yet been reported for new storage devices based on flash technology. Based on insights into the second-hand chip market in certain countries, we report on the results of the first large-scale study on the effects of chip reuse for USB flash drives. We provide clear evidence of poor sanitization practices for USB flash drives from the low-cost market that were sold as new. More specifically, we forensically analyzed 1211 low-cost USB flash drives and were able to recover non-trivial data on a total of 76 devices (6%). Furthermore, we forensically analyzed 435 high-cost USB flash drives on which we could not find any evidence of chip recycling in this market sector.
Janine Schneider, Aya Fukami, Immanuel Lautner, Maximilian Eichhorn, Denise Moussa, Julian Wolf 0003, Nicole Scheler, Dominic Deuber, Felix C. Freiling, Jaap Haasnoot, Hans Henseler, Simon Malik, Holger Morgenstern, Martin Westman
IEEE Trans. Dependable Secur. Comput.11
2013 Computer assisted extraction, merging and correlation of identities with tracks inspector
abstract
With the pervasiveness of computers and mobile devices, digital forensics becomes more important in law enforcement. Detectives increasingly depend on the scarce support of digital specialists which impedes efficiency of criminal investigations. Tracks Inspector is a commercial solution that enables non-technical investigators to easily investigate digital evidence using a web browser. We will demonstrate how Tracks Inspector can be used to discover the most important persons and groups in case data by investigators without requiring the help of digital forensics experts.
Jop Hofste, Hans Henseler, Maurice van Keulen
ICAIL2