SOFIR: Securely Outsourced Forensic Image Recognition

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Abstract

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. We present SOFIR, a tool for the Secure Outsourcing of Forensic Image Recognition allowing companies and law enforcement agencies to jointly detect illegal network traffic at its source, thus facilitating immediate regulatory actions. SOFIR cryptographically hides the hash database from the involved companies. At fixed intervals, SOFIR sends out an encrypted report to the law enforcement agency that only contains the number of found illegal images in the given interval, while otherwise keeping the company’s legal network traffic private. Our experimental results show the effectiveness and practicality of our approach in the real-world.
Original languageUndefined
Title of host publication39th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014
Place of PublicationUSA
PublisherIEEE
Pages2694-2698
Number of pages5
ISBN (Print)978-1-4799-2893-4
DOIs
Publication statusPublished - Feb 2014
EventIEEE International Conference on Acoustic, Speech and Signal Processing, ICASSP 2014 - Fortezza dal Basso, Florence, Italy
Duration: 4 May 20149 May 2014
http://www.icassp2014.org/home.html

Publication series

Name
PublisherIEEE

Conference

ConferenceIEEE International Conference on Acoustic, Speech and Signal Processing, ICASSP 2014
Abbreviated titleICASSP
CountryItaly
CityFlorence
Period4/05/149/05/14
Internet address

Keywords

  • SCS-Cybersecurity
  • network monitoring
  • somewhat homomorphic encryption
  • IR-90722
  • Forensics
  • Law enforcement
  • METIS-304097
  • EWI-24732

Cite this

Bösch, C. T., Peter, A., Hartel, P. H., & Jonker, W. (2014). SOFIR: Securely Outsourced Forensic Image Recognition. In 39th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2014 (pp. 2694-2698). USA: IEEE. https://doi.org/10.1109/ICASSP.2014.6854089