11-14, 15:00–15:10 (Asia/Bangkok), 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.
Researcher & builder. Now focus in on-chain governance and fuzzer.
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.