03 RESEARCH

publications

Non-EVM smart contract security and vehicular network privacy.

2
RESEARCH CONTRIBUTIONS
1
PUBLISHED (SPRINGER LNCS)
216
LLM EVALUATION EXPERIMENTS RUN
24
CONTRACT VULN. BENCHMARK

Springer LNCS, METAVERSE 2026 · published

LLM-Assisted Smart Contract Vulnerability Detection for Metaverse Blockchain Infrastructure

Full title: "Securing Metaverse Blockchain Infrastructure: LLM-Assisted Vulnerability Detection on Solana and Algorand Smart Contracts." Investigated LLM-driven vulnerability detection for non-EVM blockchain ecosystems, addressing security challenges in metaverse infrastructure, decentralized applications, and smart contract auditing.

  • Developed a benchmark of 24 vulnerable and patched Solana and Algorand smart contracts covering eight vulnerability classes.
  • Designed and executed 216 experiments comparing Zero-Shot, Chain-of-Thought (CoT), and Retrieval-Augmented Generation (RAG) prompting strategies for vulnerability detection and remediation.
  • Evaluated detection accuracy, false positive rates, reasoning quality, and hallucination reduction across frontier LLMs (GPT-4o, Claude Sonnet 4, Llama-3.3-70B) for automated smart contract security auditing.
  • Demonstrated the effectiveness of structured prompting techniques for improving LLM-assisted security analysis and scalable smart contract auditing.
LLMs (GPT-4o, Claude Sonnet 4, Llama-3.3-70B)SolanaAlgorandRustRAG

Assisted on the technical side

A Blockchain-based Privacy-Preserving Authentication for Secure Vehicular Communications

Acted as an integral researcher addressing critical security and privacy gaps in Vehicular Ad Hoc Networks (VANETs): anonymity, unlinkability, and data integrity.

  • Designed an Inter-Platoon Communication Protocol (IPCP) enabling secure coordination (lane changes, accident avoidance) between vehicle platoons.
  • Engineered a scalable, RSU-less architecture removing reliance on fixed Road Side Units, reducing cost and complexity.
  • Implemented a distributed blockchain for immutable event logging and dynamic trust-score management, for accountability.
  • Developed a custom, low-latency consensus mechanism (replacing PoW) tailored for real-time vehicular operations.
  • Built specialized protocols for large vehicle dynamics and emergency vehicle priority.
  • Ensured user privacy via a pseudonym-based system managed by a central Trust Authority (TA) for traceability.
PythonC++SolidityPlexeRShell