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6th MTD@CCS 2019: London, UK

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Zhuo Lu:
Proceedings of the 6th ACM Workshop on Moving Target Defense, MTD@CCS 2019, London, UK, November 11, 2019. ACM 2019, ISBN 978-1-4503-6828-5

Modeling, Analysis and Evaluation

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  - conf/ccs/PiskozubSCM19
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Michal Piskozub, Riccardo Spolaor, Mauro Conti, Ivan Martinovic:
On the Resilience of Network-based Moving Target Defense Techniques Against Host Profiling Attacks. 1-12
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  - conf/ccs/IslamDA19
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Md. Mazharul Islam, Qi Duan, Ehab Al-Shaer:
Specification-driven Moving Target Defense Synthesis. 13-24
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Yang Bai, Lixing Chen, Linqi Song, Jie Xu:
Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading. 25-35

Frameworks and Methods

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Jianhua Sun, Songsong Liu, Kun Sun:
A Scalable High Fidelity Decoy Framework against Sophisticated Cyber Attacks. 37-46
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Maxime Ayrault, Etienne Borde, Ulrich Kühne:
Run or Hide? Both! A Method Based on IPv6 Address Switching to Escape While Being Hidden. 47-56
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Yuyang Zhou, Guang Cheng, Shanqing Jiang, Ying Hu, Yuyu Zhao, Zihan Chen:
A Cost-effective Shuffling Method against DDoS Attacks using Moving Target Defense. 57-66

Strategies and Applications

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Alejandro Gómez-Boix, Davide Frey, Yérom-David Bromberg, Benoit Baudry:
A Collaborative Strategy for Mitigating Tracking through Browser Fingerprinting. 67-78
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Pedro Casas, Pavol Mulinka, Juan Martin Vanerio:
Should I (re)Learn or Should I Go(on)?: Stream Machine Learning for Adaptive Defense against Network Attacks. 79-88

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