SOTERIA: Exploiting process variations to enhance hardware security with photonic NoC architectures

Sai Vineel Reddy Chittamuru, Ishan G. Thakkar, Varun Bhat, Sudeep Pasricha

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

Photonic networks-on-chip (PNoCs) enable high bandwidth on-chip data transfers by using photonic waveguides capable of dense-wavelength-division-multiplexing (DWDM) for signal traversal and microring resonators (MRs) for signal modulation. A Hardware Trojan in a PNoC can manipulate the electrical driving circuit of its MRs to cause the MRs to snoop data from the neighboring wavelength channels in a shared photonic waveguide. This introduces a serious security threat. This paper presents a novel framework called SOTERIA. that utilizes process variation based authentication signatures along with architecture-level enhancements to protect data in PNoC architectures from snooping attacks. Evaluation results indicate that our approach can significantly enhance the hardware security in DWDMbased PNoCs with minimal overheads of up to 10.6% in average latency and of up to 13.3% in energy-delay-product (EDP).

Original languageEnglish
Title of host publicationProceedings of the 55th Annual Design Automation Conference, DAC 2018
DOIs
StatePublished - Jun 24 2018
Event55th Annual Design Automation Conference, DAC 2018 - San Francisco, United States
Duration: Jun 24 2018Jun 29 2018

Publication series

NameProceedings - Design Automation Conference
VolumePart F137710
ISSN (Print)0738-100X

Conference

Conference55th Annual Design Automation Conference, DAC 2018
Country/TerritoryUnited States
CitySan Francisco
Period6/24/186/29/18

Bibliographical note

Publisher Copyright:
© 2018 Association for Computing Machinery.

Keywords

  • Hardware Security
  • Photonic NoCs
  • Process Variations

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Modeling and Simulation

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