Projects & Research

Building a modular C2 (Command & Control) framework with plugin-based implant architecture and reinforcement learning system that adaptively selects transport mechanisms, beacon intervals, and retry strategies to minimize detection.

Key Features:

• Modular plugin-based implant architecture
• Reinforcement learning for adaptive evasion
• Dynamic transport selection
• Windows Defender bypass through encrypted payloads
• Shellcode injection with obfuscation techniques

Authoring reverse engineering and binary exploitation challenges for cybersecurity competitions.

Challenge Types:

• Reverse engineering challenges in C and Go
• Buffer overflow exploitations
• Custom encryption scheme analysis
• x86/x64 stack exploitation with calling-convention analysis
• Web-based cryptography challenges

Developed a comprehensive defense simulation environment for cybersecurity students to practice defending against live multi-phase cyberattacks following MITRE ATT&CK methodology.

Components:

• 40+ virtual machines for attack/defense scenarios
• Automated attack simulation using Bash scripting
• Student-driven threat hunting exercises
• vSphere infrastructure for VM management
• 60+ total VMs in student lab environments

Contributing researcher on an upcoming academic publication covering novel cyber deception techniques. Developed taxonomy and methodology for applying deception strategies across multiple domains.

Research Focus:

• Novel cyber deception techniques
• Deception across AI systems, ICS, Active Directory, and bespoke systems
• Taxonomy development for deception methodologies
• Operational impact assessment
• Publication preparation for peer review