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Articles de revues sur le sujet « Moving Target Defense »

Auteur : Grafiati

Publié le 4 juin 2021

Mis à jour le 26 juillet 2025

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1

Lei, Cheng, Hong-Qi Zhang, Jing-Lei Tan, Yu-Chen Zhang, and Xiao-Hu Liu. "Moving Target Defense Techniques: A Survey." Security and Communication Networks 2018 (July 22, 2018): 1–25. http://dx.doi.org/10.1155/2018/3759626.

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As an active defense technique to change asymmetry in cyberattack-defense confrontation, moving target defense research has become one of the hot spots. In order to gain better understanding of moving target defense, background knowledge and inspiration are expounded at first. Based on it, the concept of moving target defense is analyzed. Secondly, literature analysis method is adopted to explain the design principles and system architecture of moving target defense. In addition, some relevant key techniques are introduced from the aspects of strategy generation, shuffling implementation, and

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Wang, Huangxin, Quan Jia, Dan Fleck, Walter Powell, Fei Li, and Angelos Stavrou. "A moving target DDoS defense mechanism." Computer Communications 46 (June 2014): 10–21. http://dx.doi.org/10.1016/j.comcom.2014.03.009.

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Shouq, Mohsen Alnemari, and M. Alzahrani Sabah. "On Moving Target Techniques for Network Defense Security." International Journal of Recent Technology and Engineering (IJRTE) 9, no. 5 (2021): 84–90. https://doi.org/10.35940/ijrte.E5111.019521.

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<strong>Abstract</strong>— The traditional technologies, tools and procedures of any network cannot be protected from attackers due to the unchanged services and configurations of the networks. To get rid of the asymmetrical feature, Moving Target Defense technique constantly changes the platform conformation which reduces success ratio of the cyberattack. Users are faced with realness with the increase of continual, progressive, and smart attacks. However, the defenders often follow the attackers in taking suitable action to frustrate expected attackers. The moving target defense idea a

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Alnemari, Shouq Mohsen, and Sabah M. Alzahrani. "On Moving Target Techniques for Network Defense Security." International Journal of Recent Technology and Engineering 9, no. 5 (2021): 84–90. http://dx.doi.org/10.35940/ijrte.e5111.019521.

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The traditional technologies, tools and procedures of any network cannot be protected from attackers due to the unchanged services and configurations of the networks. To get rid of the asymmetrical feature, Moving Target Defense technique constantly changes the platform conformation which reduces success ratio of the cyberattack. Users are faced with realness with the increase of continual, progressive, and smart attacks. However, the defenders often follow the attackers in taking suitable action to frustrate expected attackers. The moving target defense idea appeared as a preemptive protect m

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Cho, Jin-Hee, Dilli P. Sharma, Hooman Alavizadeh, et al. "Toward Proactive, Adaptive Defense: A Survey on Moving Target Defense." IEEE Communications Surveys & Tutorials 22, no. 1 (2020): 709–45. http://dx.doi.org/10.1109/comst.2019.2963791.

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Zhang, Zhihua, Lu Liu, Chunying Zhang, et al. "MTTEGDM: A Moving Target Evolutionary Game Defense Model Based on Three-Way Decisions." Electronics 13, no. 4 (2024): 734. http://dx.doi.org/10.3390/electronics13040734.

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Aiming at the fact that the moving target defense game model fails to accurately portray attack and defense gains, resulting in bias in attack and defense games and the inability to select effective defense strategies, we construct the moving target three-way evolutionary game defense model (MTTEGDM). Firstly, the model is defined and analyzed theoretically under the premise of uncertainty and irrationality. Then, combined with the three-way decisions, the attack intention is introduced into the target network loss calculation, and a dynamic weight adjustment algorithm based on the three-way d

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Heydari, Vahid. "Moving Target Defense for Securing SCADA Communications." IEEE Access 6 (2018): 33329–43. http://dx.doi.org/10.1109/access.2018.2844542.

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Shi, Yuan, Huanguo Zhang, Juan Wang, et al. "CHAOS: An SDN-Based Moving Target Defense System." Security and Communication Networks 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/3659167.

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Moving target defense (MTD) has provided a dynamic and proactive network defense to reduce or move the attack surface that is available for exploitation. However, traditional network is difficult to realize dynamic and active security defense effectively and comprehensively. Software-defined networking (SDN) points out a brand-new path for building dynamic and proactive defense system. In this paper, we propose CHAOS, an SDN-based MTD system. Utilizing the programmability and flexibility of SDN, CHAOS obfuscates the attack surface including host mutation obfuscation, ports obfuscation, and obf

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9

Xu, Xiaoyu, Hao Hu, and Xianwei Zhu. "Compressing Deep Learning Model for Agile Moving Target Defense." Journal of Physics: Conference Series 2171, no. 1 (2022): 012032. http://dx.doi.org/10.1088/1742-6596/2171/1/012032.

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Abstract The moving target defense achieves the effect of defending against network attacks by constantly changing the attack surface. IP hopping defense is a typical representative of network layer moving target defense technology. It has been verified to show considerable defense effect against DDoS attacks and scanning attacks. Aiming at the problems that the system resource overhead of the existing IP hopping defense technology is too large, an agile IP hopping defense technology based on compressed neural network is proposed in this paper. A convolutional neural network (CNN) is deployed

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Hyder, M. F., and M. A. Ismail. "INMTD: Intent-based Moving Target Defense Framework using Software Defined Networks." Engineering, Technology & Applied Science Research 10, no. 1 (2020): 5142–47. http://dx.doi.org/10.48084/etasr.3266.

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Intent-Based Networking (IBN) is an emerging networking paradigm while Moving Target Defense (MTD) is an active security technique. In this paper, the Intent-based Moving Target Defense (INMTD) framework using Software Defined Networks is proposed. INMTD is the first effort in exploiting IBN for the design of an efficient Moving Target Defense (MTD) framework. INMTD uses the concept of shadow servers in order to counter the first stage of cyber-attacks, i.e. reconnaissance attacks targeted against servers running in SDN networks. INMTD comprises of an MTD application running on an SDN controll

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Hyder, M. F., and M. A. Ismail. "INMTD: Intent-based Moving Target Defense Framework using Software Defined Networks." Engineering, Technology & Applied Science Research 10, no. 1 (2020): 5142–46. https://doi.org/10.5281/zenodo.3659507.

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Intent-Based Networking (IBN) is an emerging networking paradigm while Moving Target Defense (MTD) is an active security technique. In this paper, the Intent-based Moving Target Defense (INMTD) framework using Software Defined Networks is proposed. INMTD is the first effort in exploiting IBN for the design of an efficient Moving Target Defense (MTD) framework. INMTD uses the concept of shadow servers in order to counter the first stage of cyber-attacks, i.e. reconnaissance attacks targeted against servers running in SDN networks. INMTD comprises of an MTD application running on an SDN controll

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12

Soussi, Wissem, Maria Christopoulou, George Xilouris, and Gurkan Gur. "Moving Target Defense as a Proactive Defense Element for Beyond 5G." IEEE Communications Standards Magazine 5, no. 3 (2021): 72–79. http://dx.doi.org/10.1109/mcomstd.211.2000087.

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13

Ge, Mengmeng, Jin-Hee Cho, Dongseong Kim, Gaurav Dixit, and Ing-Ray Chen. "Proactive Defense for Internet-of-things: Moving Target Defense With Cyberdeception." ACM Transactions on Internet Technology 22, no. 1 (2022): 1–31. http://dx.doi.org/10.1145/3467021.

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Resource constrained Internet-of-Things (IoT) devices are highly likely to be compromised by attackers, because strong security protections may not be suitable to be deployed. This requires an alternative approach to protect vulnerable components in IoT networks. In this article, we propose an integrated defense technique to achieve intrusion prevention by leveraging cyberdeception (i.e., a decoy system) and moving target defense (i.e., network topology shuffling). We evaluate the effectiveness and efficiency of our proposed technique analytically based on a graphical security model in a softw

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Ayrault, Maxime, Ulrich Kühne, and Étienne Borde. "Finding Optimal Moving Target Defense Strategies: A Resilience Booster for Connected Cars." Information 13, no. 5 (2022): 242. http://dx.doi.org/10.3390/info13050242.

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During their life-cycle, modern connected cars will have to face various and changing security threats. As for any critical embedded system, security fixes in the form of software updates need to be thoroughly verified and cannot be deployed on a daily basis. The system needs to commit to a defense strategy, while attackers can examine vulnerabilities and prepare possible exploits before attacking. In order to break this asymmetry, it can be advantageous to use proactive defenses, such as reconfiguring parts of the system configuration. However, resource constraints and losses in quality of se

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15

Cunha, Vitor A., Daniel Corujo, Joao P. Barraca, and Rui L. Aguiar. "TOTP Moving Target Defense for sensitive network services." Pervasive and Mobile Computing 74 (July 2021): 101412. http://dx.doi.org/10.1016/j.pmcj.2021.101412.

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16

Vuppala, Satyanarayana, Alie El-Din Mady, and Adam Kuenzi. "Moving Target Defense Mechanism for Side-Channel Attacks." IEEE Systems Journal 14, no. 2 (2020): 1810–19. http://dx.doi.org/10.1109/jsyst.2019.2922589.

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Ghourab, Esraa M., Effat Samir, Mohamed Azab, Mohamed Eltoweissy, and Mohamed Azab. "Trustworthy Vehicular CommunicationEmploying Multidimensional Diversificationfor Moving-target Defense." Journal of Cyber Security and Mobility 8, no. 2 (2018): 133–64. http://dx.doi.org/10.13052/jcsm2245-1439.821.

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18

Carvalho, Marco, Jeffrey M. Bradshaw, Larry Bunch, et al. "Command and Control Requirements for Moving-Target Defense." IEEE Intelligent Systems 27, no. 3 (2012): 79–85. http://dx.doi.org/10.1109/mis.2012.45.

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19

Lee, Suhyeon, Huy Kang Kim, and Kyounggon Kim. "Ransomware protection using the moving target defense perspective." Computers & Electrical Engineering 78 (September 2019): 288–99. http://dx.doi.org/10.1016/j.compeleceng.2019.07.014.

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., Abhishekh Patil. "IP ADDRESS SHUFFLING USING MOVING TARGET DEFENSE (MTD)." International Journal of Research in Engineering and Technology 05, no. 11 (2016): 20–22. http://dx.doi.org/10.15623/ijret.2016.0511004.

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21

Tian, Jue, Rui Tan, Xiaohong Guan, and Ting Liu. "Enhanced Hidden Moving Target Defense in Smart Grids." IEEE Transactions on Smart Grid 10, no. 2 (2019): 2208–23. http://dx.doi.org/10.1109/tsg.2018.2791512.

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Azab, Mohamed, and Mohamed Eltoweissy. "ChameleonSoft: Software Behavior Encryption for Moving Target Defense." Mobile Networks and Applications 18, no. 2 (2012): 271–92. http://dx.doi.org/10.1007/s11036-012-0392-0.

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23

Żal, Mariusz, Marek Michalski, and Piotr Zwierzykowski. "Implementation of a Lossless Moving Target Defense Mechanism." Electronics 13, no. 5 (2024): 918. http://dx.doi.org/10.3390/electronics13050918.

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The contemporary world, dominated by information technologt (IT), necessitates sophisticated protection mechanisms against attacks that pose significant threats to individuals, companies, and governments alike. The unpredictability of human behavior, coupled with the scattered development of applications and devices, complicates supply chain maintenance, making it impossible to develop a system entirely immune to cyberattacks. Effective execution of many attack types hinges on prior network reconnaissance. Thus, hindering effective reconnaissance serves as a countermeasure to attacks. This pap

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24

Sun, Rongbo, Yuefei Zhu, Jinlong Fei, and Xingyu Chen. "A Survey on Moving Target Defense: Intelligently Affordable, Optimized and Self-Adaptive." Applied Sciences 13, no. 9 (2023): 5367. http://dx.doi.org/10.3390/app13095367.

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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-b

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Tamba, Tua A., Bin Hu, and Yul Y. Nazaruddin. "On Event-Triggered Implementation of Moving Target Defense Control." IFAC-PapersOnLine 53, no. 2 (2020): 3539–44. http://dx.doi.org/10.1016/j.ifacol.2020.12.1727.

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Cai, Gui-lin, Bao-sheng Wang, Wei Hu, and Tian-zuo Wang. "Moving target defense: state of the art and characteristics." Frontiers of Information Technology & Electronic Engineering 17, no. 11 (2016): 1122–53. http://dx.doi.org/10.1631/fitee.1601321.

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27

Mullins, Tristen, Brandon Baggett, Todd Andel, and Todd McDonald. "Circuit-Variant Moving Target Defense for Side-Channel Attacks." International Conference on Cyber Warfare and Security 17, no. 1 (2022): 219–26. http://dx.doi.org/10.34190/iccws.17.1.14.

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The security of cryptosystems involves preventing an attacker's ability to obtain information about plaintext. Traditionally, this has been done by prioritizing secrecy of the key through complex key selection and secure key exchange. With the emergence of side-channel analysis (SCA) attacks, bits of a secret key may be derived by correlating key values with physical properties of cryptographic process execution. Information such as power consumption and electromagnetic (EM) radiation side-channel properties can be observed during encryption or decryption. These signals reflect data-dependent

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Shiva, Sajjan. "Automated Live Migration in OpenStack:A Moving Target Defense Solution." Journal of Computer Science Applications and Information Technology 2, no. 3 (2017): 1–5. http://dx.doi.org/10.15226/2474-9257/2/3/00119.

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29

PARK, Taekeun, and Keewon KIM. "Strengthening Network-Based Moving Target Defense with Disposable Identifiers." IEICE Transactions on Information and Systems E105.D, no. 10 (2022): 1799–802. http://dx.doi.org/10.1587/transinf.2022edl8022.

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Pal, Partha, Richard Schantz, Aaron Paulos, and Brett Benyo. "Managed Execution Environment as a Moving-Target Defense Infrastructure." IEEE Security & Privacy 12, no. 2 (2014): 51–59. http://dx.doi.org/10.1109/msp.2013.133.

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Zhang, Hong-qi, Cheng Lei, De-xian Chang, and Ying-jie Yang. "Network moving target defense technique based on collaborative mutation." Computers & Security 70 (September 2017): 51–71. http://dx.doi.org/10.1016/j.cose.2017.05.007.

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32

Tian, Jue, Rui Tan, Xiaohong Guan, Zhanbo Xu, and Ting Liu. "Moving Target Defense Approach to Detecting Stuxnet-Like Attacks." IEEE Transactions on Smart Grid 11, no. 1 (2020): 291–300. http://dx.doi.org/10.1109/tsg.2019.2921245.

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Tan, Jinglei, Hui Jin, Hongqi Zhang, et al. "A survey: When moving target defense meets game theory." Computer Science Review 48 (May 2023): 100544. http://dx.doi.org/10.1016/j.cosrev.2023.100544.

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34

Lei, Cheng, Duo-he Ma, Hong-qi Zhang, and Li-ming Wang. "Moving Target Network Defense Effectiveness Evaluation Based on Change-Point Detection." Mathematical Problems in Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/6391502.

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In order to evaluate the effectiveness of moving target network defense, a dynamic effectiveness evaluation approach based on change-point detection is presented. Firstly, the concept of multilayer network resource graph is defined, which helps establish the relationship between the change of resource vulnerability and the transfer of network node state. Secondly, a change-point detection and standardized measurement algorithm is proposed. Consequently, it improves the efficiency of evaluation by measuring the change-point dynamically and enhancing the accuracy of evaluation based on multilaye

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Tan, Jing-lei, Heng-wei Zhang, Hong-qi Zhang, et al. "Optimal Timing Selection Approach to Moving Target Defense: A FlipIt Attack-Defense Game Model." Security and Communication Networks 2020 (June 9, 2020): 1–12. http://dx.doi.org/10.1155/2020/3151495.

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The centralized control characteristics of software-defined networks (SDNs) make them susceptible to advanced persistent threats (APTs). Moving target defense, as an effective defense means, is constantly developing. It is difficult to effectively characterize an MTD attack and defense game with existing game models and effectively select the defense timing to balance SDN service quality and MTD decision-making benefits. From the hidden confrontation between the actual attack and defense sides, existing attack-defense scenarios are abstractly characterized and analyzed. Based on the APT attack

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Cai, Gui-lin, Bao-sheng Wang, and Qian-qian Xing. "Game theoretic analysis for the mechanism of moving target defense." Frontiers of Information Technology & Electronic Engineering 18, no. 12 (2017): 2017–34. http://dx.doi.org/10.1631/fitee.1601797.

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Zhang, Huan, Kangfeng Zheng, Xiujuan Wang, Shoushan Luo, and Bin Wu. "Strategy Selection for Moving Target Defense in Incomplete Information Game." Computers, Materials & Continua 62, no. 2 (2020): 763–86. http://dx.doi.org/10.32604/cmc.2020.06553.

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Mercado-Velazquez, Andres Aharhel, Ponciano Jorge Escamilla-Ambrosio, and Floriberto Ortiz-Rodriguez. "A Moving Target Defense Strategy for Internet of Things Cybersecurity." IEEE Access 9 (2021): 118406–18. http://dx.doi.org/10.1109/access.2021.3107403.

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Yoon, Seunghyun, Jin-Hee Cho, Dong Seong Kim, Terrence J. Moore, Frederica Free-Nelson, and Hyuk Lim. "Attack Graph-Based Moving Target Defense in Software-Defined Networks." IEEE Transactions on Network and Service Management 17, no. 3 (2020): 1653–68. http://dx.doi.org/10.1109/tnsm.2020.2987085.

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40

Kanellopoulos, Aris, and Kyriakos G. Vamvoudakis. "A Moving Target Defense Control Framework for Cyber-Physical Systems." IEEE Transactions on Automatic Control 65, no. 3 (2020): 1029–43. http://dx.doi.org/10.1109/tac.2019.2915746.

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41

Niakanlahiji, Amirreza, and Jafar Haadi Jafarian. "WebMTD: Defeating Cross-Site Scripting Attacks Using Moving Target Defense." Security and Communication Networks 2019 (May 14, 2019): 1–13. http://dx.doi.org/10.1155/2019/2156906.

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Existing mitigation techniques for cross-site scripting attacks have not been widely adopted, primarily due to imposing impractical overheads on developers, Web servers, or Web browsers. They either enforce restrictive coding practices on developers, fail to support legacy Web applications, demand browser code modification, or fail to provide browser backward compatibility. Moving target defense (MTD) is a novel proactive class of techniques that aim to defeat attacks by imposing uncertainty in attack reconnaissance and planning. This uncertainty is achieved by frequent and random mutation (ra

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Zangeneh, Vahid, and Mehdi Shajari. "A cost-sensitive move selection strategy for moving target defense." Computers & Security 75 (June 2018): 72–91. http://dx.doi.org/10.1016/j.cose.2017.12.013.

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Torquato, Matheus, and Marco Vieira. "Moving target defense in cloud computing: A systematic mapping study." Computers & Security 92 (May 2020): 101742. http://dx.doi.org/10.1016/j.cose.2020.101742.

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Zhang, Huan, Kangfeng Zheng, Xiujuan Wang, Shoushan Luo, and Bin Wu. "Efficient Strategy Selection for Moving Target Defense Under Multiple Attacks." IEEE Access 7 (2019): 65982–95. http://dx.doi.org/10.1109/access.2019.2918319.

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Song, Fei, Yu-Tong Zhou, Yu Wang, Tian-Ming Zhao, Ilsun You, and Hong-Ke Zhang. "Smart collaborative distribution for privacy enhancement in moving target defense." Information Sciences 479 (April 2019): 593–606. http://dx.doi.org/10.1016/j.ins.2018.06.002.

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Qian, Yaguan, Yankai Guo, Qiqi Shao, et al. "EI-MTD: Moving Target Defense for Edge Intelligence against Adversarial Attacks." ACM Transactions on Privacy and Security 25, no. 3 (2022): 1–24. http://dx.doi.org/10.1145/3517806.

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Edge intelligence has played an important role in constructing smart cities, but the vulnerability of edge nodes to adversarial attacks becomes an urgent problem. A so-called adversarial example can fool a deep learning model on an edge node for misclassification. Due to the transferability property of adversarial examples, an adversary can easily fool a black-box model by a local substitute model. Edge nodes in general have limited resources, which cannot afford a complicated defense mechanism like that on a cloud data center. To address the challenge, we propose a dynamic defense mechanism,

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Jin, Han Jun, and Feng Jiao Wang. "A Fast Algorithm Research of Moving Targets Detection Based on GPU." Advanced Materials Research 850-851 (December 2013): 776–79. http://dx.doi.org/10.4028/www.scientific.net/amr.850-851.776.

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Moving object detection which is an important part of the digital image processing technology is research focus and difficulty in computer vision, pattern recognition, object recognition and tracking, moving image coding, security monitoring and other fields. It also has a wide application prospect in the military, national defense and industry fields. However, when there are large amount of moving targets and exercise conditions, the amount of data generated is also inestimable and target detection is a bottleneck in the data processing at the same time. The work of this paper is to simplify

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48

Gao, Chungang, Yongjie Wang, and Xinli Xiong. "A Cyber Deception Defense Method Based on Signal Game to Deal with Network Intrusion." Security and Communication Networks 2022 (March 18, 2022): 1–17. http://dx.doi.org/10.1155/2022/3949292.

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Increasingly, cyber security personnel are using cyber deception defense techniques to deal with network intrusions. However, traditional cyber deception techniques (such as honeypots and honeynets) are easily detected by attackers, thus leading to failure. Therefore, we propose a cyber deception defense method based on the signal game to improve the effectiveness of the defense. More specifically, first, we propose a moving target defense (MTD) enhanced cyber deception defense mechanism. Then, on the basis of the in-depth analysis of network attack and defense scenarios, a signal game model i

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Song, Qun, Zhenyu Yan, and Rui Tan. "DeepMTD: Moving Target Defense for Deep Visual Sensing against Adversarial Examples." ACM Transactions on Sensor Networks 18, no. 1 (2022): 1–32. http://dx.doi.org/10.1145/3469032.

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Deep learning-based visual sensing has achieved attractive accuracy but is shown vulnerable to adversarial attacks. Specifically, once the attackers obtain the deep model, they can construct adversarial examples to mislead the model to yield wrong classification results. Deployable adversarial examples such as small stickers pasted on the road signs and lanes have been shown effective in misleading advanced driver-assistance systems. Most existing countermeasures against adversarial examples build their security on the attackers’ ignorance of the defense mechanisms. Thus, they fall short of fo

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Gao, Chungang, and Yongjie Wang. "Reinforcement learning based self-adaptive moving target defense against DDoS attacks." Journal of Physics: Conference Series 1812, no. 1 (2021): 012039. http://dx.doi.org/10.1088/1742-6596/1812/1/012039.

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