A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learning - researchr publication authors

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Alonso Granados, Mohammad Sujan Miah, Anthony Ortiz, Christopher Kiekintveld. A Realistic Approach for Network Traffic Obfuscation Using Adversarial Machine Learning. In Quanyan Zhu, John S. Baras, Radha Poovendran, Juntao Chen, editors, Decision and Game Theory for Security - 11th International Conference, GameSec 2020, College Park, MD, USA, October 28-30, 2020, Proceedings. Volume 12513 of Lecture Notes in Computer Science, pages 45-57, Springer, 2020. [doi]

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