Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach

no code implementations • 7 May 2018 • Ivan Homoliak, Martin Teknos, Martín Ochoa, Dominik Breitenbacher, Saeid Hosseini, Petr Hanacek

Machine-learning based intrusion detection classifiers are able to detect unknown attacks, but at the same time, they may be susceptible to evasion by obfuscation techniques.

Cryptography and Security C.2.0