A transparent and Auditable RoT and Security Primitives for Secure and trustworthy SDR

Abstract

Software Defined Radio (SDR) has emerged during the last decade as a transformative technology, empowering academia, industry, and hobbyists to develop diverse communication protocols through a flexible, programmable hardware structure. A notable achievement of SDR is the reduction of analog hardware, with the majority of physical layer blocks being defined through software, facilitating the implementation of different communication protocols through open-source toolkits such as GNU Radio[3]. With the advent of 5G and 6G applications around the corner, new concerns must be prioritized in developing and implementing robust security measures. Especiallyfor military applications, transceivers are constantly hopping between channels to deploy different applications, such as drone remote control. Previous studies have demonstrated potential attacks on communication radios [1, 2], bypassing defense mechanisms through various attacks and compromising information. This raises a critical needfor new solutions and methodologies to secure information while transmitting data. This research specifically targets the technical area referred to as TA1. We aim to develop an open-source framework that demonstrates a root of trust (RoT) of silicon for SDR communications by designing and implementing ASICs, allowing the detection of attacks that could lead to manipulation or loss of information.

Document Details

Document Type
DoD Grant Award
Publication Date
Nov 09, 2024
Source ID
N000142412743

Entities

People

  • Mehdi Saligane

Organizations

  • Board of Regents of the University of Michigan
  • Office of Naval Research
  • United States Navy

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Radio communications and signal processing.

Technology Areas

  • 5G
  • 5G - Internet of Things
  • Autonomy
  • Autonomy - Autonomous System Control