A project by
NTU School of Computer Science and Engineering
and Aprismatic


It is often that organizations can greatly benefit from joint data analysis but are reluctant to share sensitive information. An intricate cryptography-based system can help to enable joint analysis by anonymizing and encrypting sensitive fields – for such tasks as joint cyber threat intelligence analysis, money laundering detection, insurance fraud prevention, epidemics analysis, genetic research, and many others.

This project plans to evolve preliminary results of the research project WEAVE to build a ubiquitous and robust system for secure joint analysis of sensitive data utilizing latest advancements in cryptography and distributed systems.