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A machine learning approach to TCP state monitoring from passive measurements.

, , , и . Wireless Days, стр. 164-171. IEEE, (2018)

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Zeruesenay Desta

Yohannes Hagos

Yohannes Hagos

Alemayehu Desta

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Enhancing Security Attacks Analysis Using Regularized Machine Learning Techniques., , , и . AINA, стр. 909-918. IEEE Computer Society, (2017)A machine learning approach to TCP state monitoring from passive measurements., , , и . Wireless Days, стр. 164-171. IEEE, (2018)Advanced Passive Operating System Fingerprinting Using Machine Learning and Deep Learning., , , , и . ICCCN, стр. 1-11. IEEE, (2020)Recent Advances in Artificial Intelligence and Tactical Autonomy: Current Status, Challenges, and Perspectives., и . Sensors, 22 (24): 9916 (2022)COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics., , , и . SAM, стр. 216-220. IEEE, (2022)Classification of Delay-based TCP Algorithms From Passive Traffic Measurements., , и . NCA, стр. 1-10. IEEE, (2019)Accelerate Model Parallel Deep Learning Training Using Effective Graph Traversal Order in Device Placement., , , и . DAIS, том 13272 из Lecture Notes in Computer Science, стр. 114-130. Springer, (2022)A Scalable Asynchronous Federated Learning for Privacy-Preserving Real-Time Surveillance Systems., , и . INFOCOM Workshops, стр. 1-6. IEEE, (2023)A Deep Learning Approach to Dynamic Passive RTT Prediction Model for TCP., , , и . IPCCC, стр. 1-10. IEEE, (2019)Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic., , , и . ICCCN, стр. 1-11. IEEE, (2018)