A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-Adaptive
Represented by reactive security defense mechanisms, cyber defense possesses a static, reactive, and deterministic nature, with overwhelmingly high costs to defend against ever-changing attackers. To change this situation, researchers have proposed moving target defense (MTD), which introduces the c...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-04-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/13/9/5367 |
| _version_ | 1797603058953224192 |
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| author | Rongbo Sun Yuefei Zhu Jinlong Fei Xingyu Chen |
| author_facet | Rongbo Sun Yuefei Zhu Jinlong Fei Xingyu Chen |
| author_sort | Rongbo Sun |
| collection | DOAJ |
| description | Represented by reactive security defense mechanisms, cyber defense possesses a static, reactive, and deterministic nature, with overwhelmingly high costs to defend against ever-changing attackers. To change this situation, researchers have proposed moving target defense (MTD), which introduces the concept of an attack surface to define cyber defense in a brand-new manner, aiming to provide a dynamic, continuous, and proactive defense mechanism. With the increasing use of machine learning in networking, researchers have discovered that MTD techniques based on machine learning can provide omni-bearing defense capabilities and reduce defense costs at multiple levels. However, research in this area remains incomplete and fragmented, and significant progress is yet to be made in constructing a defense mechanism that is both robust and available. Therefore, we conducted a comprehensive survey on MTD research, summarizing the background, design mechanisms, and shortcomings of MTD, as well as relevant features of intelligent MTD that are designed to overcome these limitations. We aim to provide researchers seeking the future development of MTD with insight into building an intelligently affordable, optimized, and self-adaptive defense mechanism. |
| first_indexed | 2024-03-11T04:24:09Z |
| format | Article |
| id | doaj.art-55697721a5d4412aa1bf45128983cbb5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T04:24:09Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-55697721a5d4412aa1bf45128983cbb52023-11-17T22:33:02ZengMDPI AGApplied Sciences2076-34172023-04-01139536710.3390/app13095367A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-AdaptiveRongbo Sun0Yuefei Zhu1Jinlong Fei2Xingyu Chen3State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, ChinaState Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, ChinaState Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, ChinaState Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou 450001, ChinaRepresented by reactive security defense mechanisms, cyber defense possesses a static, reactive, and deterministic nature, with overwhelmingly high costs to defend against ever-changing attackers. To change this situation, researchers have proposed moving target defense (MTD), which introduces the concept of an attack surface to define cyber defense in a brand-new manner, aiming to provide a dynamic, continuous, and proactive defense mechanism. With the increasing use of machine learning in networking, researchers have discovered that MTD techniques based on machine learning can provide omni-bearing defense capabilities and reduce defense costs at multiple levels. However, research in this area remains incomplete and fragmented, and significant progress is yet to be made in constructing a defense mechanism that is both robust and available. Therefore, we conducted a comprehensive survey on MTD research, summarizing the background, design mechanisms, and shortcomings of MTD, as well as relevant features of intelligent MTD that are designed to overcome these limitations. We aim to provide researchers seeking the future development of MTD with insight into building an intelligently affordable, optimized, and self-adaptive defense mechanism.https://www.mdpi.com/2076-3417/13/9/5367moving target defensecyber securityaffordable defenseself-adaptive defenseintelligent defense |
| spellingShingle | Rongbo Sun Yuefei Zhu Jinlong Fei Xingyu Chen A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-Adaptive Applied Sciences moving target defense cyber security affordable defense self-adaptive defense intelligent defense |
| title | A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-Adaptive |
| title_full | A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-Adaptive |
| title_fullStr | A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-Adaptive |
| title_full_unstemmed | A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-Adaptive |
| title_short | A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-Adaptive |
| title_sort | survey on moving target defense intelligently affordable optimized and self adaptive |
| topic | moving target defense cyber security affordable defense self-adaptive defense intelligent defense |
| url | https://www.mdpi.com/2076-3417/13/9/5367 |
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