Challenges in moving target defense techniques

Abstract

Moving Target Defense (MTD) is a cybersecurity strategy designed to enhance system resilience against cyber threats by continually altering the system’s attack surface. This approach counters the limitations of traditional static security measures, which often fall short against dynamic cyber threats. MTD techniques, such as IP shuffling, packet header randomization, and network topology shuffling, create uncertainty and confusion for attackers, making it harder for them to exploit vulnerabilities. The static nature of many currently used network systems offers several practical benefits, such as cost optimization and ease of deployment. However, this static nature also makes these systems vulnerable to attackers who can silently observe and gain insights before launching a significant attack on the infrastructure. Moving Target Defense (MTD) is an emerging approach that promises to counter this type of threat by continuously altering system parameters and changing the attack surface of protected systems. This survey aims to understand the effectiveness of MTD by analyzing existing research in this field. It will identify current shortcomings and suggest potential improvements that need to be addressed in future proposals to make MTD a viable solution for mitigating current cybersecurity threats in real-world scenarios. As part of our research explores the effectiveness of attack graph-based security analytics in implementing MTD strategies. It introduces the existing model Three-Tier Attack Graph (TAG) model, which separates network topology and vulnerability information into distinct layers: connectivity, remote vulnerabilities, and local vulnerabilities. This structured approach simplifies the representation of attack paths, enhances the manageability of attack graphs, and provides a comprehensive framework for security analysis. Our research makes several contributions: it demonstrates the benefits of the TAG model for MTD, reviews recent MTD methods and their effectiveness against various threats, and identifies challenges with key MTD components. The findings suggest that combining MTD with traditional security measures significantly improves the robustness of network defenses, particularly in the face of increasing cloud infrastructure usage. The TAG model’s ability to predict attack paths and streamline security analysis offers valuable insights for proactive threat mitigation and defense strategy optimization. Finally, the configuration of an SDN environment using Open vSwitch and the Ryu controller focuses on network communication, routing, and security features. The setup involves the rest_router application within Ryu, dynamic IP management via DHCP, and static route configuration, verified through topology logs.