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Bösch, C.T. and Peter, A. and Hartel, P.H. and Jonker, W. (2014) SOFIR: Securely Outsourced Forensic Image Recognition. In: 39th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014, May 4-9, 2014, Florence, Italy. pp. 2694-2698. IEEE. ISBN 978-1-4799-2893-4
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Official URL: http://dx.doi.org/10.1109/ICASSP.2014.6854089
Forensic image recognition tools are used by law enforcement agencies all over the world to automatically detect illegal images on confiscated equipment. This detection is commonly done with the help of a strictly confidential database consisting of hash values of known illegal images. To detect and mitigate the distribution of illegal images, for instance in network traffic of companies or Internet service providers, it is desirable to outsource the recognition of illegal images to these companies. However, law enforcement agencies want to keep their hash databases secret at all costs as an unwanted release may result in misuse which could ultimately render these databases useless.
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