[review#27] Survey of Cyber Moving Targets Second Edition_2018
This report is the result of studies performed at Lincoln Laboratory, a federally funded research and development center operated by Massachusetts Institute of Technology.
moving target defense
[review#26] Moving Target Defense Meets Artificial-Intelligence-Driven Network: A Comprehensive Survey_2025
In this article, we first provide a thorough analysis of the threats in the cloud–edge–terminal network. Then, we conduct a comprehensive survey to discuss the concept, design principles, and main classifications of MTD. Next, we further introduce the development potential in terms of AI-powered MTD on each network layer.
[review#24] Low delay network attributes randomization to proactively mitigate reconnaissance attacks in industrial control systems_2023
This paper presents a proactive network reconnaissance defense mechanism based on the temporal randomization of network IP addresses, MAC addresses and port numbers.
[review#23] Moving Target Defense: creating asymmetric uncertainty for cyber threats
The chapters in this book present a range of MTD challenges and promising solution paths based on game–theoretic approaches, network-based cyber maneuver, and software transformations.
[review#22] Cost-effective moving target defense against DDoS attacks using trilateral game and multi-objective Markov decision processes_2020
By designing a trilateral game cost-effective shuffling algorithm, we capture the best MTD strategy and reach a balance between them in a given shuffling scenario.
[review#21] A survey: When moving target defense meets game theory_2023
This study presents the basic concepts of MTD and game theory, followed by a literature review, to study MTD decision-making methods based on game theory from the dimensions of space, time, space–time, and bounded rationality.
Protected: [review #4] Game Theory | paper summary
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