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Data reduction and data mining framework for digital forensic evidence: storage, intelligence, review and archive [PDF]

With the volume of digital forensic evidence rapidly increasing, this paper proposes a data reduction and data mining framework that incorporates a process of reducing data volume by focusing on a subset of information.
Darren Quick, Kim-Kwang Raymond Choo
core

Innovative Learning in a Digital Forensics Laboratory: Tools and Techniques for Data Recovery

Applied Sciences
Electronic evidence is an essential component in most legal trials of criminal activities, and digital forensics is therefore a crucial support for law enforcement investigations.
Carlos Cruz
doaj +1 more source

Tongue prints as an emerging biometric tool in forensic odontology: a systematic review

Egyptian Journal of Forensic Sciences
Background Tongue prints have recently emerged as a promising biometric trait in forensic odontology. Their unique surface morphology, protection from external factors, and long-term stability position them as potential identifiers in forensic ...
Nabila Farahani +2 more
doaj +1 more source

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

, 2018
Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in ...
Bappy, Jawadul H. +8 more
core

DeepForgeryNet: a hybrid CNN-LSTM and transfer learning framework for robust image forgery and deepfake detection. [PDF]