Research projects (cryptography/network security, cloud security, cyber law & digital forensics)
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Text GenerationCompleted and worked on research topics involving intrusion detection/classification, threat detection in cloud environments, and automated code analysis using NLP. These activities imply data-driven model development and evaluation workflows where labeled examples and annotated signals (e.g., vulnerability patterns and contexts) are typically required. The research focus also includes reducing false positives using an operational context layer and considering explainability and responsible disclosure standards. • Intrusion detection and classification research for connected/autonomous vehicle contexts. • Cloud intrusion/threat detection with a focus on reducing false positives via an operational context layer. • NLP-driven analysis of software vulnerabilities for automated code analysis. • Consideration of legal evaluation, evidentiary standards, and explainability for AI-assisted detection.