An Approach for Attacking Speck on Microcontroller with Correlation Power Analysis

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

Abstract

In recent years, some lightweight cipher algorithms for IoT devices have been proposed. These algorithms can be applied to a variety of IoT devices without occupying too much memory and power consumption, and compared to traditional ciphers, such as AES, these algorithms have higher efficiency. The Speck algorithm is a lightweight block cipher, proposed by the NSA in June 2013, and it is specifically optimized for IoT microcontrollers. A few previous studies have shown that the Speck algorithm can be attacked through power analysis. Based on Arduino Uno as the implementation platform of the Speck 128/128 algorithm, in this paper, we propose a method to attack the Speck 128/128 algorithm. Our experiment results have shown that when the attack point in the last round of Speck 128/128 XOR operation, the round key can be successfully recovered by the Correlation Power Analysis attack.

Original languageEnglish
Title of host publicationProceedings - 2020 8th International Symposium on Computing and Networking Workshops, CANDARW 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages368-372
Number of pages5
ISBN (Electronic)9781728199191
DOIs
Publication statusPublished - Nov 2020
Event8th International Symposium on Computing and Networking Workshops, CANDARW 2020 - Virtual, Naha, Japan
Duration: Nov 24 2020Nov 27 2020

Publication series

NameProceedings - 2020 8th International Symposium on Computing and Networking Workshops, CANDARW 2020

Conference

Conference8th International Symposium on Computing and Networking Workshops, CANDARW 2020
Country/TerritoryJapan
CityVirtual, Naha
Period11/24/2011/27/20

Keywords

  • Arduino Uno
  • Correlation Power Analysis
  • Lightweight Block Cipher
  • Speck

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Computational Mathematics
  • Control and Optimization

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