
maltrail
Real-time malicious traffic detection system using public blacklists, static malware trails, and heuristic analysis to identify threats across DNS,…

Real-time malicious traffic detection system using public blacklists, static malware trails, and heuristic analysis to identify threats across DNS,…

Adaptive two-stage Layer 4 DDoS mitigation gateway using behavioral traffic analysis, Random Forest classification, and kernel-level ipset/iptables…

Simulation code and results for a private, verifiable, Byzantine-robust federated intrusion detection protocol using secret sharing, Merkle audits…

PowerShell script that monitors Windows DNS traffic via pktmon to detect poisoning, spoofing, rogue resolver responses, and gateway MAC changes,…

Detects unknown jailbreak attacks in large vision-language models using hidden state analysis and autoencoders, with training and evaluation…

Linux system-call monitor using ptrace to trace file, process, network, and memory activity, with namespace isolation and machine learning…

Linux kernel module using Kprobes to detect and neutralize CVE-2024-1086 heap double-free exploits via temporal gap tracking and active register…

An event-driven network monitoring platform that performs live packet capture (Npcap), low-latency traffic analytics, and unsupervised threat…

A modular, skill-based autonomous Security Operations Center (SOC) agent that monitors OpenSearch/Elasticsearch data, builds RAG-based behavioral…

eBPF-based Linux rootkit detector using multi-channel cross-view analysis (sched_switch, NMI, /proc) to detect DKOM, tracepoint tampering, and…

Linux kernel-space HID injection attack detector using eBPF. Monitors USB and Bluetooth HID devices for anomalous keystroke timing and automatically…

An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Retrieval-Augmented Generation Systems.

Autonomous AI-powered cyber defense system using MCP, Gemini 2.0 Flash, Dynatrace observability and MongoDB. Google Cloud Hackathon submission.

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

Lightweight Python-based IDS that monitors network traffic in real-time using Scapy, detecting DoS/DDoS attacks via per-IP request rate analysis with…

Training-free anomaly detection framework using Shannon Entropy, Fisher Information, and Wasserstein Distance to map system states into geometrically…

Deep Learning models for network traffic classification

Collection of KQL queries