The study of network vulnerability seeks to identify the critical elements with respect to a variety of measures. Generally speaking, a network is robust if external pertubations do not significantly impair its functionality. In this area, we seek to design methods to identify the critical elements. One measure we study is the vulnerability of network clustering to node failure; another is the vulnerability of Quality of Service (QoS) in a communication network to node and link failures.
Objectives:
- Identify critical elements for network infrastructure measurements, such as the degree of network clustering
- Design comprehensive vulnerability measure for communication networks capable of utilizing any QoS metric
Selected Publications:
- “Network Resilience Assessment via QoS Degradation Metrics: An Algorithmic Approach,” in ACM POMACS & SIGMETRICS, 2019 .
- “Exploring Spatial, Temporal, and Logical Attacks on Bitcoin Network,” in NDSS 2019 (Poster), 2019 .
- “Partitioning Attacks on Bitcoin Network: Colliding Space, Time and Logic,” in IEEE ICDCS, 2019 .