The project will develop a new anonymization technique for network data that provides stronger privacy protection, better utility preservation, and is robust against various attacks. This project will generate a prototype tool that can be further tested in real life situations and encourages sharing of network data sets.                                                                                                                                                                                                                       


Subject Area(s):

  • Computer Science and Engineering


Principle Investigator:

Ahmed Aleroud

 

Associate Professor of Computer Information Systems

 

ahmed.aleroud@yu.edu.jo


Unit:

Faculty of Information Technology and Computer Sciences


Period:

12.2018 - 03.2019


Funding Agency:

RIPE NCC


Partners:

None


Budget:

32,000 EUR


Website:

NA


Outcomes:

  • To develop an intelligent anonymization tool that integrates all anonymization algorithms developed in this and prior projects and help users make decisions intelligently.
  • To release an anonymized dataset.

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