Real packet traces are not only used to detect and diagnose various network issues related to performance and security, but also to train intelligent learning models enabling networks that can run themselves.
However, packets in a network carry a lot of information which can be used to personally identify users and their online behavior. Such information, like MAC and IP addresses, should be anonymized.
Yet, anonymizing a captured packet trace takes significant amount of time and effort, and existing tools that run on x86 systems cannot keep up with the speed of live traffic.
ONTAS is an anonymization service that runs directly on a programmable data plane.
Joon Kim (firstname.lastname@example.org)
Arpit Gupta (email@example.com)