Phuong Cao
Research Scientist
National Center for Supercomputing Applications
University of Illinois at Urbana-Champaign
Phuong Cao is a research scientist at the National Center for Supercomputing Applications, University of Illinois. His research interests include securing high-performance scientific computing through large-scale measurements of network protocols, designing probabilistic models to detect cyber-attacks, and synthesizing machine-assisted proofs of federated authentication protocols. His research has won a Best Paper Award, a Best Hackathon Award, and an Outstanding Mentor recognition for advising students in cybersecurity research. Phuong is a Trusted CI Fellow of the NSF Cybersecurity Center of Excellence. (Biography)
Publications
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Post-Quantum Cryptography (PQC) Network Instrument:
Measuring PQC Adoption Rates and
Identifying Migration Pathways
Jakub Sowa, Bach Hoang, Advaith Yeluru, Steven Qie, Anita Nikolich, Ravishankar Iyer, Phuong Cao
IEEE International Conference on Quantum Computing and Engineering (QCE)
Pre-print PDF
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True Attacks, Attack Attempts, or Benign Triggers? An Empirical Measurement of Network
Alerts in a
Security Operations Center Limin Yang, Zhi Chen, Chenkai Wang, Zhenning Zhang,
Sushruth
Booma, Phuong Cao, Constantin Adam, Alex Withers, Zbigniew Kalbarczyk, Ravishankar K. Iyer,
Gang
Wang
33rd USENIX
Security Symposium
PDF
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Taxonomy of Fingerprinting Techniques for Evaluation of Smart Grid Honeypot Realism
Vanessa Tay, Xinran Li, Daisuke Mashima, Bennet Ng, Phuong Cao, Zbigniew Kalbarczyk,
Ravishankar K
Iyer
IEEE International Conference on Smart
Grid
Communications (SmartGridComm), 2023
PDF
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Post-Quantum Cyberinfrastructure Security Readiness: Risks, Measures and Prospects
Phuong Cao, Bach Hoang, Santiago Nunez-Corrales
ASCR Workshop on Basic Research Needs in
Quantum
Computing and Networking, Department of Energy, (Position Paper), 2023.
PDF
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stealthML: Data-driven Malware for Stealthy Data Exfiltration
Keywhan Chung, Phuong Cao, Zbigniew Kalbarczyk, Ravishankar K Iyer
IEEE International Conference on Cyber Security and
Resilience,
2023
PDF
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Predicting ICU Admissions for Hospitalized COVID-19 Patients with a Factor Graph-based
Model
Yurui Cao, Phuong Cao, Haotian Chen, Karl M. Kochendorfer, Andrew B. Trotter, William L.
Galanter, Paul
M. Arnold, Ravishankar K Iyer
AAAI-22
Health Intelligence Workshop
PDF
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Investigating Root Causes of Authentication Failures Using a SAML and OIDC
Observatory
Jim Basney, Phuong Cao, Terry Fleury
IEEE DependSys 2020
PDF
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Mining Threat Intelligence from Billion-scale SSH Brute-Force Attacks
Yuming Wu, Phuong Cao, Alex Withers, Zbigniew Kalbarczyk, Ravishankar Iyer
Workshop on
Decentralized IoT
Systems and Security, co-located with NDSS, 2020
PDF
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CAUDIT: Continuous Auditing of SSH-Servers To Mitigate Brute-Force Attacks
Phuong Cao, Yuming Wu, Subho Banerjee, Alex Withers, Justin Azoff, Zbigniew Kalbarczyk,
Ravishankar Iyer
USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2019
PDF
 
Talk
 
Press
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SVAuth: A Single-Sign-On Integration Solution with Runtime Verification
Shuo Chen, Matt McCutchen, Phuong Cao, Shaz Qadeer, and Ravishankar Iyer
International Conference on Runtime Verification (RV), 2017
PDF
Blackhat
Europe presentation
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Preemptive intrusion detection: theoretical framework and real-world measurements
Phuong Cao, Eric Badger, Adam Slagell, Zbigniew Kalbarczyk, Ravishankar Iyer
ACM Symposium and Bootcamp on the Science of Security (HotSOS), 2015
PDF
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Security Monitoring for Virtual Machines Using Hardware Architectural Invariants
Cuong Pham, Zachary Estrada, Phuong Cao, Zbigniew Kalbarczyk, and Ravishankar Iyer
IEEE Conference on Dependable Systems and Networks (DSN), 2014
PDF
Magazine articles and workshops
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Building Reliable and Secure Virtual Machines Using Architectural Invariants
Cuong Pham, Zachary Estrada, Phuong Cao, Zbigniew Kalbarczyk, and Ravishankar Iyer
IEEE Security and Privacy (S&P) Magazine, 2014
PDF
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Toward a high availability cloud: Techniques and challenges
Cuong Pham, Phuong Cao, Zbigniew Kalbarczyk, and Ravishankar Iyer
IEEE International Conference on Dependable Systems and Networks (DSN), 2012
PDF
Sponsored Research
My research focuses on securing High Performance
Computing (HPC) environments. Statistical measurements
of real-world data on security incidents and outages are
the key driver to design secure-by-construction software
such as federated authentication tokens for
supercomputing systems. This work is crucial for
mitigating evolving threats like Machine
Learning-powered attacks and the rise of new computing
paradigms such as Quantum Computing. My work has been
funded by the National Science Foundation (NSF),
Illinois Computes program, and industry partner such as
International Business Machines (IBM).
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CC*: Quantum-Resistant Cryptography in Supercomputing Scientific Applications, NSF, Office of Advanced Cyberinfrastructure (OAC)
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FMitF: Track II: Bringing Verification-Aware Languages and Federated Authentication to Enable Secure Computing for Scientific Communities, NSF, Division of Computing and Communication Foundations (CCF)
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ResiliANT AIOps: Foundation-Model-Driven Resilience for Cloud Computing, IBM-Illinois Discovery Accelerator Institute
Please contact me for a copy of the grant proposal for NSF projects above.
Honors and Awards
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Outstanding Mentors, Students Pushing INnovation (SPIN) at NCSA, 2024
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Trusted CI Open Science
Cybersecurity Fellow, Trusted CI, the NSF Cybersecurity Center of Excellence , 2023
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10th place, Salesforce Hackathon (Heroku category), 2014
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Best Paper Award, IEEE International Conference on Dependable Systems and Networks (DSN),
2014
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Best Use of the APIs, Box.com Hackathon, 2012
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Vietnam Education Foundation (VEF) Fellowship Nominee, 2011
Service
Proposal Review Panels (National Science Foundation), 2024
Program Committee Member: IEEE DSN 2024 Industry Track, IEEE QCE 2024
Journal Reviewer: IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Information Forensics and Security