Qinghua Li
Research Scientist
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Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Qinghua Li's research has focused on cybersecurity, privacy-preserving technologies, and network communication. His work includes developing methods for achieving k-anonymity in location-based services and enhancing privacy through caching mechanisms. He has also investigated efficient and privacy-aware data aggregation in mobile sensing. Li has received significant federal funding for his research, including a $525,000 NSF grant as PI for the Center for Infrastructure Trustworthiness in Energy Systems (CITES) and a $50,000 NSF grant as PI for research on automated software security vulnerability and patch management. Additionally, he is a Co-PI on an NSF grant for a zero-trust-based security training program in Open RAN cyberinfrastructure, totaling $94,998.
With a career spanning over two decades, Li has authored or co-authored 274 publications, accumulating over 5,344 citations and an h-index of 34. His recent work includes an overview of the cybersecurity of battery management systems and the adoption of blockchain technology. Li collaborates with several researchers at the University of Arkansas at Fayetteville, including Marie Louise Uwibambe and Kylie McClanahan, with whom he has co-authored five shared publications.
Metrics
- h-index: 34
- Publications: 274
- Citations: 5,344
Positions
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Research Scientist 2001–presentIntel Corp NGS ORCID
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Research ScientistUniversity of Arkansas at Fayetteville ORCID
Selected Publications
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Key-HIT: Hash-Induced Transformation for Keystroke Dynamics-Based Private Continuous Authentication (2026)
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Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning (2026)arXiv (Cornell University) OpenAlex
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Operationalizing Cybersecurity Governance for Mitigation Planning with Attack-Path Modeling and Reinforcement Learning (2026)
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InVue: Inferring Vulnerabilities from Encrypted Web Traffic (2025)
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CAPTure: Classifying APT Stages and Techniques via Graph-Enhanced Network Flow Representations (2025)
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Non-Linear Polynomial Approximations of the Sigmoid for Plain and Encrypted Models (2025)
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Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments (2025)
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Twitter-Based OSINT for Cyber Event Analytics (2025)
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A Reinforcement Learning Approach to Multi-Parametric Input Mutation for Fuzzing (2025)
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Safeguarding Industrial Automation: A Fuzzing Framework for PLC Control Logic (2025)
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POP-FA: Paillier and Order-Preserving encryption-based Facial Authentication (2024)
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Towards Automatically Matching Security Advisories to CPEs: String Similarity-based Vendor Matching (2024)
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When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly (2024)
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TraceMonitor: A Novel AI-Based Chrome Extension to Enhance User Awareness of Privacy Leakage towards Green Web Browsing (2024)
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Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices (2023)
Federal Grants 3 $669,998 total
I-Corps: Automated Software Security Vulnerability and Patch Management
Collaboration Network
Top Collaborators
- Achieving k-anonymity in privacy-aware location-based services
- Enhancing privacy through caching in location-based services
- Efficient and Privacy-Aware Data Aggregation in Mobile Sensing
- Privacy-aware and trustworthy data aggregation in mobile sensing
- Forwarding redundancy in opportunistic mobile networks: Investigation and elimination
Showing 5 of 9 shared publications
- A Machine Learning-based Approach for Automated Vulnerability Remediation Analysis
- AI-based Cyber Event OSINT via Twitter Data
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Automatically Locating Mitigation Information for Security Vulnerabilities
- Towards Automatically Matching Security Advisories to CPEs: String Similarity-based Vendor Matching
Showing 5 of 7 shared publications
- Physics- and Learning-based Detection and Localization of False Data Injections in Automatic Generation Control
- A Machine Learning-based Approach for Automated Vulnerability Remediation Analysis
- Flooding attacks against secure time-critical communications in the power grid
- Dynamic Risk-Aware Patch Scheduling
- Deep learning-based data forgery detection in automatic generation control
Showing 5 of 6 shared publications
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- Fuzzing for Power Grids: A Comparative Study of Existing Frameworks and a New Method for Detecting Silent Crashes in Control Devices
- A Reinforcement Learning Approach to Multi-Parametric Input Mutation for Fuzzing
- Optimizing the Selection of Vulnerability Remediation Actions in Operational Technology Environments
- Safeguarding Industrial Automation: A Fuzzing Framework for PLC Control Logic
- Achieving k-anonymity in privacy-aware location-based services
- Enhancing privacy through caching in location-based services
- A novel attack to spatial cloaking schemes in location-based services
- A fine-grained spatial cloaking scheme for privacy-aware users in Location-Based Services
- Achieving k-anonymity in privacy-aware location-based services
- Enhancing privacy through caching in location-based services
- A novel attack to spatial cloaking schemes in location-based services
- A fine-grained spatial cloaking scheme for privacy-aware users in Location-Based Services
- Enhancing privacy through caching in location-based services
- A novel attack to spatial cloaking schemes in location-based services
- A fine-grained spatial cloaking scheme for privacy-aware users in Location-Based Services
- A Framework for Personalized Location Privacy
- Forwarding redundancy in opportunistic mobile networks: Investigation and elimination
- PrivacyCamera: Cooperative Privacy-Aware Photographing with Mobile Phones
- Contact Duration Aware Data Replication in DTNs with Licensed and Unlicensed Spectrum
- Forwarding Redundancy in Opportunistic Mobile Networks: Investigation, Elimination and Exploitation
- An Overview of Cyber-Physical Security of Battery Management Systems and Adoption of Blockchain Technology
- The effects of flooding attacks on time-critical communications in the smart grid
- Evaluating the capability and performance of access control policy verification tools
- Identification of Subjects and Bystanders in Photos with Feature-Based Machine Learning
- Automated Bystander Detection and Anonymization in Mobile Photography
- Privacy Protection Against Shoulder Surfing in Mobile Environments
- Detection and Localization of Data Forgery Attacks in Automatic Generation Control
- Security Vulnerability and Mitigation in Photovoltaic Systems
- POP-FA: Paillier and Order-Preserving encryption-based Facial Authentication
- AI-based Cyber Event OSINT via Twitter Data
- CVSS Base Score Prediction Using an Optimized Machine Learning Scheme
- Twitter-Based OSINT for Cyber Event Analytics
- When ChatGPT Meets Vulnerability Management: The Good, the Bad, and the Ugly
- TraceMonitor: A Novel AI-Based Chrome Extension to Enhance User Awareness of Privacy Leakage towards Green Web Browsing
- Privacy Protection Against Shoulder Surfing in Mobile Environments
- An Overview of Cyber-Physical Security of Battery Management Systems and Adoption of Blockchain Technology
- The effects of flooding attacks on time-critical communications in the smart grid
- Privacy-aware and trustworthy data aggregation in mobile sensing
- Privacy Disclosure through Smart Meters: Reactive Power Based Attack and Defense
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