Privacy Enhanced Filter (PEF) made available as open source software

Effective detection and prevention of digital threats and risks are often in conflict with privacy regulations. The Privacy Enhanced Filter (PEF) can remove privacy sensitive information as much as possible from network traffic in such a way that detection and prevention remain possible. This is analogous to the operation of Google Street View, in which persons, license plates, etc. are anonymized, but the road, environment, and obstacles can still be seen. This allows detection measures to work without compromising privacy.

In close collaboration with the Netherlands Forensic Institute and with the NCTV Safety Through Innovation Program, the NCSC has implemented this application. PEF was then made available as open source software [1]. This allows other organizations and developers to view and use the source code at no cost. They can also improve PEF or add additional functionality.



Update: 28 April

The Privacy Enhanced Filter is temporarily offline. It has come to our attention that the publication contained personal data after it was posted online. Directly after this was reported the NCSC removed the publication. Following our legal obligations the NCSC reported this to the Dutch Data Protection Authority. The NFI and the NCSC are now working on removing all personal data. The publication will be published again as soon as possible.


Update: 9 May

The NFI and the NCSC removed all the personal data from the software and test materials and the Privacy Enhanced Filter has been published again today.

CSAN 2018

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