DDDAS Anomaly Detection and Response for Attack-Resilient Multi-Agent Systems

Abstract

This report describes our research on anomaly detection and response for dynamic data driven application systems (DDDAS) in order to build attack-resilient multi-agent systems. The report covers the period between January 2019 and November 2021. Besides the achievements presented in our previous reports, we show some new results regarding the practical implementation of the strategies described, and the final details needed to finish all the activities of the project. Due to the Covid-19 pandemic when the lockdown impeded to work on our laboratories, and we were not allowed to hire graduate research assistants, we asked for an extension that was granted on November 2020. The university opened its laboratories on the second semester of 2021 and at the time we were able to hire four undergraduate research students. Hence, all the activities were developed by these undergraduate students, three graduate students, and the two principal investigators.

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Document Details

Document Type
Technical Report
Publication Date
Jun 27, 2022
Accession Number
AD1176792

Entities

People

  • Nicanor Quijano

Organizations

  • University of the Andes

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Blockchain
  • Communication Networks
  • Computational Science
  • Computer Access Control
  • Computer Networks
  • Consensus Algorithms
  • Control Systems
  • Detection
  • Detectors
  • Image Processing
  • Information Security
  • Information Systems
  • Kalman Filters
  • Model Predictive Control
  • Multiagent Systems
  • Network Architecture
  • Nonlinear Dynamics
  • Sensor Networks
  • Software Defined Networks
  • Unmanned Aerial Vehicles
  • Unmanned Ground Vehicles
  • Unmanned Vehicles

Readers

  • Clinical Trial Research.
  • Critical Infrastructure Protection in CBRN and WMD Threats.
  • Technical Research and Report Writing.