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Virginia Tech

Detecting Electromagnetic Injection Attack on FPGAs Using In Situ Timing Sensors

Abstract

dc:description.abstract

Nowadays, security is one of the foremost concerns as the confidence in a system is mostly dependent on its ability to protect itself against any attack. The area of Electromagnetic Fault Injection (EMFI) wherein attackers can use electromagnetic (EM) pulses to induce faults has started garnering increasing attention. It became crucial to understand EM attacks and find the best countermeasures. In this race to find countermeasures, different researchers proposed their ideas regarding the generation of EM attacks and their detection. However, it is difficult to see a universal agreement on the nature of these attacks. In this work, we take a closer look at the analysis of the primary EMFI fault models suggested earlier. Initial studies had shown that EM glitches caused timing violations, but recently it was proposed that EM attacks can create bit sets and bit resets. We performed a detailed experimental evaluation of the existing detection schemes on two different FPGA platforms. We present their comparative design analysis concerning their accuracy, precision, and cost. We propose an in situ timing sensor to overcome the disadvantages of the previously proposed detection approaches. This sensor can successfully detect most of the electromagnetic injected faults with high precision. We observed that the EM attack behaves like a localized timing attack in FPGAs which can be identified using the in situ timing sensors.

Degree

thesis:*
Name thesis:degree_name
MS
Level thesis:degree_level
masters
Discipline thesis:degree_discipline
Computer Engineering
Department dc:contributor.department
Electrical and Computer Engineering
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gujar, Surabhi Satyajit
Chair dc:contributor.committeechair
  • Nazhandali, Leyla
Committee members dc:contributor.committeemember
  • Abbott, A. Lynn
  • Schaumont, Patrick R.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
vt_gsexam:16937
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/97006

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Gujar, Surabhi Satyajit. Detecting Electromagnetic Injection Attack on FPGAs Using In Situ Timing Sensors. masters thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/97006