Assistant Professor of Cybersecurity
College of Engineering, Design and Computing
My current work develops practical defenses and analytical methods for blockchain systems, stream ciphers, agentic AI, digital forensics and critical infrastructure.
Defense frameworkA layered defense monitors mining-power concentration, raises warning and critical alerts, and limits deep chain reorganizations through checkpoint enforcement. Simulation results show how detection lead time and checkpoint depth can work together to reduce attack impact.
AI ecosystem pressuresThis work examines the friction behind scale-driven AI: compute races, valuation expectations, energy demand, governance lag and supply-chain constraints. It argues for a transition toward efficient, adaptive and reasoning-centered systems.
BEC-Trap threat modelBEC-Trap binds the key, initialization vector and cipher state so that partial compromise does not yield a useful fragment of the system. The construction combines Borromean interdependence, chameleon-hash mutability and an all-or-nothing transformation.
Cipher architectureClassical string-matching ideas—including Knuth–Morris–Pratt and Boyer–Moore—are adapted to inspect word patterns in EChaCha20 keystreams. The study evaluates recurrence, diffusion and possible structural irregularities across multiple pattern lengths.
Post-pretraining AIAs finite, high-quality training data becomes a constraint, AI development must move beyond static pretraining. The article maps a shift toward dynamic data generation, lifelong learning, tool use, adaptation and autonomous reasoning.
Neural distinguisher resultsThis framework combines m-gram recurrence and positional statistics with machine learning to test whether reduced-round EChaCha20 outputs remain distinguishable from random sequences. It offers a complementary, data-driven view of diffusion and structural leakage.
12-step forensic processA structured investigation process connects forensic readiness, incident identification, evidence acquisition and analysis with reporting, reconstruction and post-incident improvement. It helps investigators preserve evidentiary value across complex industrial environments.
Quantum-safe frameworkThis framework maps classical, qubit, quantum-interface, forensic-readiness and digital-forensics spaces into a coordinated investigation model. It identifies how quantum computation may strengthen evidence processing while introducing new cryptographic and operational risks.