R1
Security Research
Ethereum Fraud
Detection
Detection
Research on spotting suspicious blockchain activity and fraud patterns in Ethereum-style transaction flows.
BSc Computer Science (Cyber Security) student at APU/DMU. SOC analyst, penetration tester, digital forensics practitioner — and builder of tools across security, AI simulation, and infrastructure.
CLI TCP SYN scanner across CIDR ranges with banner grabbing, CPE mapping, and NVD CVE API lookups. Outputs standalone HTML + JSON reports with CVSS scores. Falls back to TCP connect when raw packets unavailable.
Privacy-first credential audit tool. zxcvbn strength scoring, entropy calculation, and HIBP k-anonymity breach checks — only the first 5 hex chars of the SHA-1 hash are sent to HIBP. Bulk audit endpoint, generator, React UI with animated strength meter.
Real-time quantitative market scanner and risk terminal for MetaTrader 5. Normalized weighted probability model (0–100 score) using EMA trend, RSI momentum, Donchian structure, ATR volatility, and spread liquidity. FTMO/5ers prop-firm compliance built in.
Room-based collaborative editor with OT conflict resolution, Monaco Editor, Redis-backed document state, debounced autosave, per-user cursors with colors, live chat, and language switching (JS/Python/Go). Jest tests for OT logic. Docker Compose setup.
Full-stack CI/CD monitoring dashboard polling GitHub Actions API every 60s, storing run history in SQLite, and exposing key-authenticated metrics endpoints. Slack Incoming Webhook alerts on pipeline failure. Automated CI via GitHub Actions.
Multi-agent simulation where agents (random, greedy, hazard-avoider, energy-saver) share a grid. Adaptive controller changes resources, hazards, and safe zones based on collective performance metrics. JSONL logs, metrics plots, MIT licensed.
Signal Collector game wrapped as a Gymnasium-compatible RL environment. YAML-driven difficulty schedule (easy → expert), optional moving hazards, dict observations, terminal renderer, and random-policy evaluation examples. Clean game/env separation.
Simulation environment designed around human-adaptive logic, extending the adaptive RL testbed series with interfaces oriented toward human-in-the-loop or human-behavioral modelling scenarios.
Runtime task engine that dynamically adjusts task parameters and difficulty at execution time based on performance feedback — part of the adaptive simulation infrastructure series.
Gymnasium-compatible gridworld environment with adaptive difficulty scaling. Complements the game wrapper and multi-agent playground to form a complete adaptive RL testbed suite.
Applied security and quantum-safe research across blockchain fraud, credential exposure, quantum key distribution, and post-quantum signatures. The focus is on practical prototypes, simulations, and publishable analysis rather than isolated demos.
Research on spotting suspicious blockchain activity and fraud patterns in Ethereum-style transaction flows.
Work focused on checking whether credentials or identity data appear in breach datasets and exposing that insight clearly.
Simulation work around the BB84 quantum key distribution protocol and how its properties behave under modeled conditions.
Performance and storage trade-off analysis of post-quantum signature schemes for blockchain systems.