报告题目：Stochastic Modeling and Testing for Network Robustness and Reliability with Cybersecurity Applications

报告所属学科：管理科学与工程

报告人：Hon Keung Tony Ng（Bentley University）

报告时间：2026年6月15日 14:00-16:30

报告地点：经管学院702室

报告摘要：

Modern cyber infrastructures, such as the Internet, electronic payment systems, and peer-to-peer platforms, can be represented as complex networks whose functionality degrades as nodes fail or are removed. We introduce a modified Wiener process to model the stochastic evolution of a network-level robustness metric under adversarial attacks or random malfunctions. Building on this model, we develop three hypothesis-testing procedures to compare the risk and resilience of two networks. The proposed methodologies can be applied to any topological measures of network robustness or risk. Practical data analysis for the peer-to-peer file-sharing networks and the Enron email network are presented to illustrate the proposed model and methods. Monte Carlo simulations are used to evaluate the performance of the proposed methodologies and practical recommendations are provided.

报告人简介：

Hon Keung Tony Ng is a Professor with the Department of Mathematical Sciences, Bentley University, Waltham, MA, USA. He received a Ph.D. degree in mathematics from McMaster University, Hamilton, ON, Canada, in 2002. He is the co-editor of Communications in Statistics – Simulation and Computation, an associate editor of American Journal of Mathematical and Management Sciences, IEEE Transactions on Reliability, Naval Research Logistics, Sequential Analysis, and Statistics & Probability Letters, and serves on the editorial board of International Journal of Reliability, Quality and Safety Engineering and Statistical Methods & Applications. His research interests include reliability, censoring methodology, degradation modeling, ordered data analysis, non-parametric methods, and statistical inference. He has published over 200 research papers in peer-reviewed journals. He is the co-author of the books Precedence-Type Tests and Applications (Wiley, 2006), Fiber Bundles: Statistical Models and Applications (Springer, 2023), and Statistical Degradation Data Analysis: Semiparametric and Nonparametric Stochastic Process Approaches (Springer, 2026). Professor Ng is an elected senior member of IEEE (2008), an elected member of the International Statistical Institute (2008), an elected fellow of the American Statistical Association (2016), and a senior member of the American Society for Quality (2025).