Cyber-Physical System Security of Surface Ships Using Intelligent Constraints

Abstract

Cyber-physical systems are vulnerable to attacks that can cause them to reach undesirable states. This paper provides theoretical solutions for increasing the resiliency of control systems through the use of a high-authority supervisor that monitors and regulates control signals sent to the actuator. The supervisor aims to determine the control signal limits that provide maximum freedom of operation while protecting the system. Approaches for finding control signal limits include analytical, reachable set, and Monte Carlo methods. These methods are applied to linear models for autonomous surface vessels to determine the rudder constraints necessary to protect vessels from collisions in the plane of motion. Promising methods are evaluated through simulations that incorporate natural geography with coastline data and realistic traffic patterns produced from ships automatic identification system data.

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Document Details

Document Type
Technical Report
Publication Date
Jul 12, 2021
Accession Number
AD1149664

Entities

People

  • Daniel J. Butchko

Organizations

  • United States Naval Academy

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Automatic Identification Systems
  • Automatic Pilots
  • Biometric Security
  • Control Systems
  • Control Theory
  • Cyber-Physical Systems
  • Department Of Defense
  • Geography
  • Identification
  • Identification Systems
  • Information Operations
  • Monte Carlo Method
  • San Diego Bay
  • Security
  • Supervisors
  • United States Naval Academy

Fields of Study

  • Physics

Readers

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

Technology Areas

  • Cyber