Cascading Failures in Networks: Inference, Intervention and Robustness to WMDs

Abstract

Modern networks are prone to cascading failures: events where the initial destruction/compromising of a few nodes results in the successive and snowballing failure of a large portion of the network. WMD attacks are particularly likely to set off pernicious cascades, because they affect several interacting network (power, communication, human) simultaneously, and because the initially affected set of nodes itself is sizable. This proposal aims to significantly further our current limited and as-hoc understanding of cascading failures in networks.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2016
Accession Number
AD1013319

Entities

People

  • Sujay Sanghavi

Organizations

  • University of Texas at Austin

Tags

Communities of Interest

  • Counter WMD
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Clustering
  • Contracts
  • Department Of Defense
  • Graph Theory
  • Graphs
  • Human Resources
  • Information Theory
  • Instructions
  • Inverse Problems
  • Learning
  • Load Monitoring
  • Machine Learning
  • Mathematics
  • Networks
  • Professional Development
  • Training

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Neural Network Machine Learning.
  • Strategic Security Studies

Technology Areas

  • AI & ML