Robustness Analysis and Anomaly Detection of Interdependent Physical and Social Networks

Abstract

This project developed models and algorithms for analyzing and improving the robustness of information flow in interdependent physical and social networks in counter-WMD scenarios. The project developed a science of observability of physical events from social media. This science allows modeling interconnected cyber-physical and social networks, where physical phenomena interact with social observers generating both physical effects and information artifacts.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2018
Accession Number
AD1059726

Entities

People

  • Christos Faloutsos
  • Jiawei Han
  • Tarek Abdelzaher
  • Tina Eliassi-rad

Organizations

  • University of Illinois Urbana–Champaign

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Anomaly Detection
  • Big Data
  • Change Detection
  • Computational Science
  • Computer Languages
  • Computer Network Security
  • Computer Networks
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Science
  • Machine Learning
  • Network Science
  • Social Media
  • Social Networking Services
  • Statistical Analysis

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development

Technology Areas

  • Cyber