Vasileios P. Kemerlis Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

High Impact

Associate Professor

John Brown University

faculty

23 h-index 65 pubs 1,827 cited

Research Areas

Security and Verification in Computing Advanced Malware Detection Techniques Network Security and Intrusion Detection Wireless Networks and Protocols Cloud Data Security Solutions

Links

ORCID

Is this your profile? Verify and claim your profile

OverviewAI-generated summary

Vasileios Kemerlis is an Associate Professor of Computer Science whose work has influenced major technology vendors and open-source projects, including Intel, Microsoft, Apple, the Linux kernel, and Mozilla Firefox. An expert in systems and software security, Kemerlis focuses on OS kernel protection, automated software hardening, fuzz testing, and hardware-assisted security. His research into kernel exploitation and defense has been recognized with awards and presentations at venues such as Black Hat and USENIX. Recent work includes methodologies for analyzing least-privilege compartmentalization and techniques for fine-grain control-flow enforcement. Kemerlis also develops adaptive system call filters and hybrid protection mechanisms against native Node.js add-ons, along with methods to hinder deserialization attacks.

His primary research interests encompass security and verification in computing, advanced malware detection, network security, wireless protocols, and cloud data security.

Metrics

  • h-index: 23
  • Publications: 65
  • Citations: 1,827

Selected Publications

  • IUBIK: Isolating User Bytes in Commodity Operating System Kernels via Memory Tagging Extensions (2025) DOI
  • QUACK: Hindering Deserialization Attacks via Static Duck Typing (2024) DOI
  • FineIBT: Fine-grain Control-flow Enforcement with Indirect Branch Tracking (2023) DOI
  • BinWrap: Hybrid Protection against Native Node.js Add-ons (2023) DOI
  • EPI: Efficient Pointer Integrity For Securing Embedded Systems (2021) DOI
  • μSCOPE: A Methodology for Analyzing Least-Privilege Compartmentalization in Large Software Artifacts (2021) DOI

Collaborators

Researchers in the database who share publications

Alexander J. Gaidis John Brown University 5 shared publications Nikos Vasilakis John Brown University 1 shared publication

Similar Researchers

Based on overlapping research topics

Jonathan Rouzaud-Cornabas Lyon College
Security and Verification in Computing Network Security and Intrusion Detection Cloud Data Security Solutions
Good match
Ammar Khan University of Arkansas at Fayetteville
Security and Verification in Computing Advanced Malware Detection Techniques Cloud Data Security Solutions
Good match
Andrew Martin John Brown University
Security and Verification in Computing Advanced Malware Detection Techniques Cloud Data Security Solutions
Good match
Brajendra Panda University of Arkansas at Fayetteville
Advanced Malware Detection Techniques Network Security and Intrusion Detection Cloud Data Security Solutions
Good match
Syed M Rahman Southern Arkansas University
Advanced Malware Detection Techniques Network Security and Intrusion Detection Cloud Data Security Solutions
Good match
Byron Denham University of Arkansas at Fayetteville
Advanced Malware Detection Techniques Network Security and Intrusion Detection
Related