Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors

Han, DQ; Wang, ZL; Zhong, Y; Chen, WQ; Yang, JH; Lu, SQ; Shi, XG; Yin, X

Wang, ZL (corresponding author), Tsinghua Univ, Inst Network Sci & Cyberspace, Beijing 100084, Peoples R China.

IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, 2021; 39 (8): 2632

Abstract

Machine learning (ML), especially deep learning (DL) techniques have been increasingly used in anomaly-based network intrusion detection systems (NIDS......

Full Text Link