MTD-Playground: An Attacker-Aware Evaluation Framework for Network Moving Target Defense
A new evaluation framework tests SDN-based moving-target defences against adaptive adversaries, addressing the common pitfall of benchmarking MTD only against static attack models.
Summary written by editorial AI · Source link below
arXiv:2607.12199v2 Announce Type: replace Abstract: Moving Target Defense (MTD) has emerged as a proactive network cyber defense paradigm that increases attacker uncertainty through dynamic network reconfiguration techniques such as Software-Defined Networking (SDN)-enabled path randomization. However, existing evaluations remain fragmented due to inconsistent attacker assumptions, attack scenarios, and evaluation metrics, limiting reproducibility and deployment-oriented comparison. In this pap
Editorial Analysis
Enterprises investing in SDN-driven network agility need evidence that their MTD strategies hold up against attackers who adapt — this framework enables that validation.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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