Design of a digital forensics image mining system
Ross Brown,Binh Pham,Olivier de Vel +2 more
- pp 395-404
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TLDR
The requirements of digital image forensics which underpin the design of the forensic image mining system are discussed and a Bayesian networks approach is proposed to deal with information uncertainties which are inherent in forensic work.Abstract:
Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper discusses the requirements of digital image forensics which underpin the design of our forensic image mining system. This system can be trained by a hierarchical Support Vector Machine (SVM) to detect objects and scenes which are made up of components under spatial or non-spatial constraints. Forensic investigators can communicate with the system via a grammar which allows object description for training, searching, querying and relevance feedback. In addition, we propose to use a Bayesian networks approach to deal with information uncertainties which are inherent in forensic work. These inference networks will be constructed to model probability interactions between beliefs, adapt to different users' retrieval patterns, and mimic human judgement of semantic content of image patches. An analysis of the performance of the first prototype of the system is also provided.read more
Citations
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Impacts of increasing volume of digital forensic data
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Big forensic data reduction: digital forensic images and electronic evidence
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Data Reduction and Data Mining Framework for Digital Forensic Evidence: Storage, Intelligence, Review and Archive
TL;DR: A Digital Forensic Data Reduction and Data Mining Framework is proposed to provide a rapid triage, collection, intelligence analysis, review and storage methodology to support the various stages of digital forensic examinations.
Proceedings ArticleDOI
SoK: Exploring the State of the Art and the Future Potential of Artificial Intelligence in Digital Forensic Investigation
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TL;DR: This paper summarises existing artificial intelligence based tools and approaches in digital forensics and shows great promise in expediting the digital forensic analysis process while increasing case processing capacities.
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