Analysis of Lightweight Cryptographic Algorithms on IoT Hardware Platform

Mohammed El-hajj*, Hussien Mousawi, Ahmad Fadlallah

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

26 Citations (Scopus)
1184 Downloads (Pure)

Abstract

Highly constrained devices that are interconnected and interact to complete a task are being used in a diverse range of new fields. The Internet of Things (IoT), cyber-physical systems, distributed control systems, vehicular systems, wireless sensor networks, tele-medicine, and the smart grid are a few examples of these fields. In any of these contexts, security and privacy might be essential aspects. Research on secure communication in Internet of Things (IoT) networks is a highly contested topic. One method for ensuring secure data transmission is cryptography. Because IoT devices have limited resources, such as power, memory, and batteries, IoT networks have boosted the term “lightweight cryptography”. Algorithms for lightweight cryptography are designed to efficiently protect data while using minimal resources. In this research, we evaluated and benchmarked lightweight symmetric ciphers for resource-constrained devices. The evaluation is performed using two widely used platform: Arduino and Raspberry Pi. In the first part, we implemented 39 block ciphers on an ATMEGA328p microcontroller and analyzed them in the terms of speed, cost, and energy efficiency during encryption and decryption for different block and key sizes. In the second part, the 2nd-round NIST candidates (80 stream and block cipher algorithms) were added to the first-part ciphers in a comprehensive analysis for equivalent block and key sizes in the terms of latency and energy efficiency.
Original languageEnglish
Article number54
JournalFuture Internet
Volume15
Issue number2
Early online date30 Jan 2023
DOIs
Publication statusPublished - Feb 2023

Keywords

  • IoT
  • lightweight cryptography
  • constrained devices
  • LWC
  • Raspberry Pi
  • Arduino

Fingerprint

Dive into the research topics of 'Analysis of Lightweight Cryptographic Algorithms on IoT Hardware Platform'. Together they form a unique fingerprint.

Cite this