Deceive Intrusion Detection System with GAN and Function-Preserving on Adversarial Samples in SDN-enabled networks

RESEARCH CREW
16:11 08/11/2020

Deceive Intrusion Detection System with GAN and Function-Preserving on Adversarial Samples in SDN-enabled networks (*selected as an Excellent Young Research Award at VANJ 2020 conference) (abstract only)

TIN LIÊN QUAN
The proliferation of connectivity through modern telecommunications has led to increased unwanted and disruptive calls. Such communications negatively impact user experience and trust in platforms. Currently, call filtering relies on centralized architectures that aggregate vast troves of sensitive user data within single entities, compromising privacy and ownership. Users have limited...