Using Reputation Based Trust to Overcome Malfunctions and Malicious Failures in Electric Power Protection Systems

Abstract

This dissertation advocates the use of reputation-based trust in conjunction with a trust management framework based on network flow techniques to form a trust management toolkit (TMT) for the defense of future Smart Grid enabled electric power grid from both malicious and non-malicious malfunctions. Increases in energy demand have prompted the implementation of Smart Grid technologies within the power grid. Smart Grid technologies enable Internet based communication capabilities within the power grid, but also increase the grid's vulnerability to cyber attacks. The benefits of TMT augmented electric power protection systems include: improved response times, added resilience to malicious and non-malicious malfunctions, and increased reliability due to the successful mitigation of detected faults. In one simulated test case, there was a 99% improvement in fault mitigation response time. Additional simulations demonstrated the TMT?s ability to determine which nodes were compromised and to work around the faulty devices when responding to transient instabilities. This added resilience prevents outages and minimizes equipment damage from network based attacks, which also improves system?s reliability. The benefits of the TMT have been demonstrated using computer simulations of dynamic power systems in the context of backup protection systems and special protection systems.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2011
Accession Number
ADA547600

Entities

People

  • Jose E. Fadul

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Networks
  • Computer Programming
  • Computer Programs
  • Computers
  • Electric Power
  • Experimental Design
  • Graphical User Interface
  • Local Area Networks
  • Mesh Networks
  • Network Protocols
  • Network Science
  • Operating Systems
  • Reliability
  • Software Agents
  • Test And Evaluation

Fields of Study

  • Computer science
  • Engineering

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Networking
  • Energy Conservation and Renewable Energy Engineering.

Technology Areas

  • Cyber