Adversarial Genetic Programming for Cyber Security: A Rising Application Domain Where GP Matters

by   Una-May O'Reilly, et al.

Cyber security adversaries and engagements are ubiquitous and ceaseless. We delineate Adversarial Genetic Programming for Cyber Security, a research topic that, by means of genetic programming (GP), replicates and studies the behavior of cyber adversaries and the dynamics of their engagements. Adversarial Genetic Programming for Cyber Security encompasses extant and immediate research efforts in a vital problem domain, arguably occupying a position at the frontier where GP matters. Additionally, it prompts research questions around evolving complex behavior by expressing different abstractions with GP and opportunities to reconnect to the Machine Learning, Artificial Life, Agent-Based Modeling and Cyber Security communities. We present a framework called RIVALS which supports the study of network security arms races. Its goal is to elucidate the dynamics of cyber networks under attack by computationally modeling and simulating them.


Adversarial Learning in the Cyber Security Domain

In recent years, machine learning algorithms, and more specially, deep l...

Solving even-parity problems using traceless genetic programming

A genetic programming (GP) variant called traceless genetic programming ...

Evolving Genes to Balance a Pole

We discuss how to use a Genetic Regulatory Network as an evolutionary re...

CCTFv1: Computational Modeling of Cyber Team Formation Strategies

Rooted in collaborative efforts, cybersecurity spans the scope of cyber ...

Using Genetic Programming to Model Software

We study a generic program to investigate the scope for automatically cu...

Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning

Interpretability can be critical for the safe and responsible use of mac...

Investigation on Research Ethics and Building a Benchmark

When dealing with leading edge cyber security research, especially when ...

Please sign up or login with your details

Forgot password? Click here to reset