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个人简介
I am broadly interested in all aspects of network, systems, and software security. I particularly enjoy conducting empirical measurements of large-scale systems and using that knowledge to guide the research and development of next-generation security technologies.
My current research focuses on applications of Machine Learning for Network Defense (especially SDN, Cloud, and Container Network Security), Anonymity and Circumvention Systems, Network Protocol Analysis, IoT Security, and Data Provenance Tracking for detection of APTs.
My current research focuses on applications of Machine Learning for Network Defense (especially SDN, Cloud, and Container Network Security), Anonymity and Circumvention Systems, Network Protocol Analysis, IoT Security, and Data Provenance Tracking for detection of APTs.
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Computer Networkspp.110203, (2024)
IEEE Transactions on Software Engineeringno. 4 (2023): 2761-2775
Prakhar Sharma,Vinod Yegneswaran
PROCEEDINGS OF THE 22ND ACM WORKSHOP ON HOT TOPICS IN NETWORKS, HOTNETS 2023pp.41-47, (2023)
PROCEEDINGS OF THE 6TH EUROPEAN P4 WORKSHOP, EUROP4 2023pp.1-7, (2023)
PROCEEDINGS OF THE 32ND USENIX SECURITY SYMPOSIUMpp.2617-2633, (2023)
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Jacob Alexander Markson Brown,Xi Jiang, Van Tran,Arjun Nitin Bhagoji,Nguyen Phong Hoang,Nick Feamster,Prateek Mittal,Vinod Yegneswaran
Muaz Ali, Muhammad Muzammil, Faraz Karim, Ayesha Naeem, Rukhshan Haroon, Muhammad Haris, Huzaifah Nadeem, Waseem Sabir,Fahad Shaon,Fareed Zaffar,Vinod Yegneswaran,Ashish Gehani,
European Symposium on Research in Computer Securitypp.229-249, (2023)
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