What Do You See? Transforming Fault Injection Target Characterizations

Marina Krček*

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

In fault injection attacks, the first step is to evaluate the target behavior for various fault injection parameters. Showing the results of such a characterization (commonly known as target cartography) is informative and allows researchers to assess the target’s behavior better. Additionally, it helps understand the performance of new search methods or attacks. Thus, publishing obtained results is essential to provide relevant information for reproducibility and benchmarking, improving state-of-the-art results and general security. Unfortunately, publishing the results also allows malicious parties to reverse engineer the information and potentially mount an attack easier. This work discusses how various transformations can be used to occlude sensitive information but, at the same time, still be useful for interested researchers. Our results show that even simple 2D transformations, such as rotation, scaling, and shifting, significantly increase the effort required to reverse engineer the transformed data but maintain the interesting data distribution. Consequently, this work provides a method to allow publishers to share more data in a confidential setting.

Original languageEnglish
Title of host publicationSecurity, Privacy, and Applied Cryptography Engineering - 12th International Conference, SPACE 2022, Proceedings
EditorsLejla Batina, Stjepan Picek, Mainack Mondal
PublisherSpringer
Pages165-184
Number of pages20
ISBN (Print)978-3-031-22828-5
DOIs
Publication statusPublished - 2022
Event12th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2022 - Jaipur, India
Duration: 9 Dec 202212 Dec 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13783 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th International Conference on Security, Privacy, and Applied Cryptography Engineering, SPACE 2022
Country/TerritoryIndia
CityJaipur
Period9/12/2212/12/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • 2D Transformations
  • Fault injection
  • Target characterization

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