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9th MTD@CCS 2022: Los Angeles, CA, USA
- Hamed Okhravi, Cliff Wang:
Proceedings of the 9th ACM Workshop on Moving Target Defense, MTD 2022, Los Angeles, CA, USA, 7 November 2022. ACM 2022, ISBN 978-1-4503-9878-7 - Cristina Nita-Rotaru:
Dynamic Security with SDN: Opportunities, Challenges, and Lessons Learned. 1-2 - Christopher Blackburn, Xiaoguang Wang
, Binoy Ravindran:
Rave: A Modular and Extensible Framework for Program State Re-Randomization. 3-10 - Javier Cabrera-Arteaga, Pierre Laperdrix, Martin Monperrus
, Benoit Baudry:
Multi-variant Execution at the Edge. 11-22 - Nicolas Papernot:
The Role of Randomization in Trustworthy Machine Learning. 23-24 - David Selasi Koblah, Fatemeh Ganji, Domenic Forte
, Shahin Tajik:
Hardware Moving Target Defenses against Physical Attacks: Design Challenges and Opportunities. 25-36 - Majid Ghaderi, Samuel Jero, Cristina Nita-Rotaru, Reihaneh Safavi-Naini:
On Randomization in MTD Systems. 37-43 - Daniel Reti, Daniel Fraunholz, Karina Elzer
, Daniel Schneider, Hans Dieter Schotten:
Evaluating Deception and Moving Target Defense with Network Attack Simulation. 45-53 - Gabriel Ballot, Vadim Malvone, Jean Leneutre, Etienne Borde:
Reasoning about Moving Target Defense in Attack Modeling Formalisms. 55-65 - Duohe Ma, Zhimin Tang, Xiaoyan Sun, Lu Guo, Liming Wang, Kai Chen:
Game Theory Approaches for Evaluating the Deception-based Moving Target Defense. 67-77
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