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AI-based, context-driven network device ranking

AI-based, context-driven network device ranking

Detects LLM context-leakage attacks by training lightweight behavior probes on log-probabilities, with vLLM offline/server detection pipelines.

Production AI defense with 7-layer protection: mathematical constraints, object-capability access, distributed O2 consensus, SVETILO ethics. First…

🥂 Gracefully face hCaptcha challenge with multimodal large language model.

Open source entropy based invalid traffic detection and pre-bid filtering.

Research related to the Power Tracks discovered in market microstructure.

Restructured and Collaborated SIEM and CVSS Infrastructure. Presented at Blackhat Asia Arsenal 2020.

A curated portfolio showcasing my SOC investigations, threat hunting projects, DFIR labs, detection engineering, technical blogs, and cybersecurity…

This repository hosts a multimodal web attack dataset (MWAD) to advance AI-driven threat detection research.

Streamlit-based insider threat detection prototype using XGBoost and Isolation Forest to analyze employee activity data, generate risk summaries, and…

Curated systematic literature review of 756+ papers on LLM applications in cybersecurity, covering threat intelligence, vulnerability detection,…

Cyber Threat Defense World Modeling

A structured knowledge base covering AI security fundamentals, threat modeling, red team offensive techniques, and blue team defenses, including LLM…

This repository provides an in-depth analysis of the Log4Shell vulnerability (CVE-2021-44228) and implements a machine learning-based approach to…

Re-play Security Events

ESPectre - Motion detection system based on Wi-Fi spectre analysis (CSI), with Home Assistant integration.

Open Source Deep Packet Inspection Software Toolkit

NFStream: a Flexible Network Data Analysis Framework.