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6th MTD@CCS 2019: London, UK
- 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
- Michal Piskozub, Riccardo Spolaor, Mauro Conti
, Ivan Martinovic:
On the Resilience of Network-based Moving Target Defense Techniques Against Host Profiling Attacks. 1-12 - Md. Mazharul Islam, Qi Duan, Ehab Al-Shaer:
Specification-driven Moving Target Defense Synthesis. 13-24 - Yang Bai, Lixing Chen, Linqi Song
, Jie Xu
:
Bayesian Stackelberg Game for Risk-aware Edge Computation Offloading. 25-35
Frameworks and Methods
- Jianhua Sun, Songsong Liu, Kun Sun:
A Scalable High Fidelity Decoy Framework against Sophisticated Cyber Attacks. 37-46 - Maxime Ayrault, Etienne Borde, Ulrich Kühne:
Run or Hide? Both! A Method Based on IPv6 Address Switching to Escape While Being Hidden. 47-56 - 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
- Alejandro Gómez-Boix, Davide Frey
, Yérom-David Bromberg, Benoit Baudry:
A Collaborative Strategy for Mitigating Tracking through Browser Fingerprinting. 67-78 - 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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