2024-11-14 –, Stage 2
Security is a big deal for Ethereum's p2p network. We think fuzzing is a great way to make it more secure. We developed a time-series-based fuzz testing tool for the Ethereum network layer. In this tool, we integrated mutation mechanisms and seed selection algorithms, and introduced a new time-series feedback model. Using this tool, we can spot and fix existing vulnerabilities while also spotting new risks.
Sun Haochen, male, graduated from Beijing University of Aeronautics and Astronautics (BUAA) for undergraduate degree and Nanyang Technological University (NTU) for master's degree, and is now a doctoral student at BUAA. My research interests mainly include fuzz application in blockchain, smart contract vulnerability detection, and blockchain system vulnerability detection.
Fudong Wu is researcher🧑🔬. His research interests include blockchain security monitoring and anonymized network communication.
Researcher & builder. Now focus in on-chain governance and fuzzer.