Masked Implementation of Format Preserving Encryption on Low-End AVR Microcontrollers and High-End ARM Processors

Hyunjun Kim, Minjoo Sim, Kyoungbae Jang, Hyeokdong Kwon, Siwoo Uhm and Hwajeong Seo
Additional contact information
Hyunjun Kim: Division of IT Convergence Engineering, Hansung University, Seoul 02876, Korea
Minjoo Sim: Division of IT Convergence Engineering, Hansung University, Seoul 02876, Korea
Kyoungbae Jang: Division of IT Convergence Engineering, Hansung University, Seoul 02876, Korea
Hyeokdong Kwon: Division of IT Convergence Engineering, Hansung University, Seoul 02876, Korea
Siwoo Uhm: Division of IT Convergence Engineering, Hansung University, Seoul 02876, Korea
Hwajeong Seo: Division of IT Convergence Engineering, Hansung University, Seoul 02876, Korea

Mathematics, 2021, vol. 9, issue 11, 1-14

Abstract: Format-Preserving Encryption (FPE) for Internet of Things (IoT) enables the data encryption while preserving the format and length of original data. With these advantages, FPE can be utilized in many IoT applications. However, FPE requires complicated computations and these are high overheads on IoT embedded devices. In this paper, we proposed an efficient implementation of Format-preserving Encryption Algorithm (FEA), which is the Korean standard of FPE, and the first-order masked implementation of FEA on both low-end (i.e., AVR microcontroller) and high-end (i.e., ARM processor) IoT devices. Firstly, we show the vulnerability of FEA when it comes to the Correlation Power Analysis (CPA) approach. Afterward, we propose an efficient implementation method and the masking technique for both low-end IoT device and high-end IoT device. The proposed method is secure against power analysis attacks but the performance degradation of masked measure is only 2.53?3.77% than the naïve FEA implementation.

Keywords: format preserving encryption; masked implementation; AVR microcontroller; ARM processor (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2227-7390/9/11/1294/pdf (application/pdf)
https://www.mdpi.com/2227-7390/9/11/1294/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:9:y:2021:i:11:p:1294-:d:568940

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().