Estimating the sweet spot of packets for classifying network flows at scale
Guest Post: Developing FastFlow — a time-series method that efficiently classifies network flows using the fewest packets needed for accurate results.
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Minzhao Lyu is a lecturer at the University of New South Wales, Sydney, NSW, Australia, where he received the B.Eng. degree (First Class Hons.) and the Ph.D. degree in 2017 and 2022, respectively. His research primarily focuses on developing network measurement technologies for the security and performance of the Internet and telecommunications networks.
By Minzhao Lyu on 10 Jun 2025
Guest Post: Developing FastFlow — a time-series method that efficiently classifies network flows using the fewest packets needed for accurate results.
By Minzhao Lyu on 28 Jul 2023
Guest Post: Enterprise network asset classification through dual-grained behaviour analysis.
By Minzhao Lyu on 19 Jan 2023
Guest Post: Addressing DNS encryption’s vulnerabilities and practical challenges.
By Minzhao Lyu on 2 Feb 2022
Guest Post: Understanding malware threats towards the DNS is the first step towards mitigating them.