Noise injection techniques in cryptographic keys to enhance security of autonomous systems

Saloni Jain, Michael Partridge, Bertrand Cambou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cryptographic protocols are widely deployed to enhance the security of sensitive data shared across autonomous networks. Privacy and security issues are exacerbated due to increased vulnerability of the cryptographic key to various types of attack. It is extremely challenging to distribute cryptographic keys in contested areas on a real-time basis, therefore several protocols have been developed that use the fingerprints of electronic devices embedded in cyber physical systems for one-time use key generation. Various autonomous systems, including vehicles, robots, and industrial machines may be protected by these fingerprints, thus allowing the use of onetime encryption keys, thereby reducing the cybersecurity attack surface. To mitigate certain attacks and enhance security we propose methods to inject random noise in these keys, as well as the associated key recovery schemes. The benefit of noise injection is the ability to incrementally confuse the hacker while adding an extra layer of authenticity. The random percentage of noise injected in the key can only be identified and verified by an authorized party. An unexpected increase or decrease in the percentage of noise notifies the server that the autonomous system is potentially under attack. Experimentally, we demonstrate how noise levels up to 30% of the cryptographic keys can be injected, and how the temperature can alter the percentage of noise. We also quantify methods to increase the errors due to the instability of the fingerprints. Additionally, we review different strategies of noise injection and how we may leverage the injected noise for stronger authentication.

Original languageEnglish (US)
Title of host publicationAutonomous Systems
Subtitle of host publicationSensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023
EditorsMichael C. Dudzik, Stephen M. Jameson, Theresa J. Axenson
PublisherSPIE
ISBN (Electronic)9781510661967
DOIs
StatePublished - 2023
EventAutonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023 - Orlando, United States
Duration: May 2 2023May 4 2023

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume12540
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceAutonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2023
Country/TerritoryUnited States
CityOrlando
Period5/2/235/4/23

Keywords

  • Authentication
  • Autonomous Systems
  • Cryptography
  • Fingerprints
  • Fuzzy cells
  • Noise Injection
  • Physical Unclonable Functions (PUF)
  • Security
  • Sensors
  • SRAM PUF

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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