Modeling NIDS Evasion with Genetic Programming

Nowadays, Network Intrusion Detection Systems are quickly updated in order to prevent systems against new attacks. This situation has provoked that attackers focus their efforts on new sophisticated evasive techniques when trying to attack a system. Unfortunately, most of these techniques are based on network protocols ambiguities [1], so NIDS designers must take them into account when updating their tools. In this paper, we present a new approach to improve the task of looking for new evasive techniques. The core of our work is to model existing NIDS using the Genetic Programming paradigm. Thus, we obtain models that simulate the behavior of NIDS with great precision, but with a much simpler semantics than the one of the NIDS. Looking for this easier semantics allows us to easily construct evasions on the model, and therefore on the NIDS, as their behavior is quite similar. Our results show how precisely GP can model a NIDS behavior.

• Type: Journal
• Year: 2010
• Where: CSREASAM
• Authors: Sergio Pastrana, Agustín Orfila, Arturo Ribagorda
• Keywords: CSREASAM 2010, Evasive Techniques, NIDS Designers, Security Privacy, Sophisticated Evasive Techniques