Research
Four connected themes that follow the Lab’s pipeline from vulnerability to threat, evidence, and defense.
Vulnerability Discovery
Finding the weaknesses that make attacks possible, and reporting them through coordinated disclosure.
Systematic Vulnerability Analysis of ARM-Based Platforms
Developing systematic, AI-assisted methodologies for identifying exploitable vulnerabilities in ARM-based software, with the goal of responsible disclosure through coordinated vendor programs and of informing new defensive models.
Threat Research
Studying how adversaries exploit weaknesses and how they behave once inside.
AI-Assisted Threat-Enabled Deceptive Honey Systems
Deceptive systems that lure and profile adversarial behavior while producing realistic, labeled datasets for forensic research.
Digital Forensics
Detecting contradictory and tampered digital evidence, and building investigative methods for new technologies.
Indicator of Inconsistency (IoI) Framework
A novel framework for defining/sharing/detecting contradictory digital artifacts using schema-consistent SPARQL constraints over CASE/UCO ontology-based knowledge graphs. IoIs highlight events of probative value including anti-forensics activity. Published in Forensic Science International: Digital Investigation (2026).
Now an open, community-driven catalog of reusable temporal, structural, and semantic IoI rules, evaluated over 87M+ RDF triples. Investigators and researchers can contribute new anti-forensic scenarios and SPARQL rules.
Forensics of AI-Integrated Systems
Developing forensic methodology for emerging AI infrastructure, where no established investigative practice yet exists.
AI-Assisted Cyber Operations
Applying AI to strengthen vulnerability identification and security operations.
AI-Assisted Vulnerability Identification in Source Code
Applying machine learning to the identification of security vulnerabilities in real-world source code. A research dataset has been completed, and the project earned a competitive University Graduate Research Fellowship.