A fault diagnosis method to defend scapegoating attack in network tomography

DOI10.1016/J.TCS.2022.10.029zbMath1498.68038OpenAlexW4307303917MaRDI QIDQ2098186

Yanyan Li

Publication date: 17 November 2022

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2022.10.029

zbMATH Keywords

fault diagnosisidentifiabilitynetwork tomographyscapegoating attackunobserved cut set

Mathematics Subject Classification ID

Network design and communication in computer systems (68M10) Reliability, testing and fault tolerance of networks and computer systems (68M15) Computer security (68M25)

Cites Work

• Economical Graph Discovery
• Estimating Network Loss Rates Using Active Tomography

This page was built for publication: A fault diagnosis method to defend scapegoating attack in network tomography