A Data-Driven Cyber–Physical System Using Deep-Learning Convolutional Neural Networks: Study on False-Data Injection Attacks in an Unmanned Ground Vehicle Under Fault-Tolerant Conditions

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2023
Source ID
10.1109/tsmc.2022.3170071

Entities

People

  • Anthony Finn
  • Fendy Santoso

Organizations

  • United States Army
  • University of South Australia

Tags

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Neural Networks
  • Autonomy
  • Cyber