Projects
ThreatSim – Multi-Agent Threat Actor Simulation
ThreatSim is an AI-powered, multi-agent threat actor simulation framework built with CrewAI, Neo4j, and FastAPI. It models adversarial behavior across the MITRE ATT&CK kill chain, enabling red-team simulation, threat intelligence enrichment, and proactive detection engineering. Each agent autonomously performs reconnaissance, lateral movement planning, and post-exploitation reasoning — producing structured attack narratives and graph-based threat paths stored in Neo4j.
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Network Monitoring System Using Raspberry Pi and Snort
Snort monitors network traffic for suspicious activity and generates alerts when potential security threats are detected. Snort is open-source, highly customizable, and widely used in both small and large-scale network environments for enhancing network security.
Hand Gesture Home Automation for the Visually Challenged
The hand gesture home automation for the visually challenged is an embedded design project in three steps. The first module uses a sensor to capture the motion of the visually challenged, and the controller (Arduino) takes input and controls the output to the motor attached to home appliances like fans, drapes, air conditioners, etc.
Digital Image Steganography with Encryption Based on Rubik's Cube Principle
This project is designed to secure information by data hiding during exchange over the internet. The encryption method used is based on the Rubik's cube principle. Using MATLAB, the code for this project jumbles secret image pixels according to the Rubik's cube principle, hides them under a cover image, and sends them to the destination.