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IFIP
2005
Springer

Content-Based Image Retrieval for Digital Forensics

9 years 5 months ago
Content-Based Image Retrieval for Digital Forensics
Digital forensic investigators are often faced with the task of manually examining a large number of (photographic) images in order to identify potential evidence. The task can be especially daunting and time-consuming if the target of the investigation is very broad, such as a web hosting service. Current forensic tools are woefully inadequate in facilitating this process and are largely confined to generating pages of thumbnail images and identifying known files through cryptographic hashes. We present a new approach that significantly automates the examination process by relying on image analysis techniques. The general approach is to use previously identified content (e.g., contraband images) and to perform feature extraction, which captures mathematically the essential properties of the images. Based on this analysis, we build a feature set database that allows us to automatically scan a target machine for images that are similar to the ones in the database. An important property...
Yixin Chen, Vassil Roussev, Golden G. Richard III,
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IFIP
Authors Yixin Chen, Vassil Roussev, Golden G. Richard III, Yun Gao
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