Low Complexity Cyber-Attack Resilient Control Systems

Abstract

1. Low Complexity Networked Control System architecture: Networked Control Systems are the backbone of Navy~s computing system. This" task will create low complexity networked multicore control system architecture. Low complexity NCS will allow engineers to design,"" develop, verify, deploy and maintain a networked multicore real timesystem as if the executions of tasks in distributed nodes were"" synchronized by a global clock, just as tasks in a single core computer.2. Low Complexity Cyber-Attack Resilient Networked Control"" System architecture: As articulated by Dr. SukarnoMertoguno, Gary Toth and Dr. Ryan Craven, the protection of control systems agai""nst cyber-attack is more challengingthan the protection of IT systems because of the constraints of real time and resource, and the"" safety critical nature ofNavy~s systems. On the other hand, the physics laws governing the movement of the controlled vehicles pro"videadvantage of detection and the inertia provides the opportunity for resiliency and recovery. We will take advantage of this ins"ight in our low complexity cyber-attack resilient networked control system architecture.3. Experimentation, Demonstration and Trans"ition: We will collaborate with researchers in the Intelligent Robotics Lab (IRL) at UIUC to experimentally investigate and demonstr"ate complexity reduction technologies for cyber-attack resilient control systems. To transition research results into practice, we w"ill work closely with industry partners to identify industry-wide technology barriers and pave the path to successful transition.

Document Details

Document Type
DoD Grant Award
Publication Date
Sep 01, 2017
Source ID
N000141712783

Entities

People

  • Lui R. Sha

Organizations

  • Office of Naval Research
  • United States Navy
  • University of Illinois Urbana–Champaign

Tags

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Research Science/Academic Research

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - Autonomous System Control
  • Cyber