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FPGA Modeling and Optimization of a SIMON Lightweight Block Cipher.

Sa'ed Abed1, Reem Jaffal2, Bassam Jamil Mohd3

  • 1Department of Computer Engineering, Kuwait University, Safat 13060, Kuwait. s.abed@ku.edu.kw.

Sensors (Basel, Switzerland)
|February 24, 2019
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Summary

This study optimizes the SIMON lightweight block cipher for low-resource devices (LRDs). Pipelined designs offer higher throughput and lower energy use, making them ideal for continuous data streams.

Keywords:
FPGASIMONblock ciphercipherencryptionenergylightweight block cipherlow-resource devicespowersecurity

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Area of Science:

  • Cryptography and Hardware Security
  • Embedded Systems Design
  • Energy-Efficient Computing

Background:

  • Sensitive data security is crucial for ubiquitous low-resource devices (LRDs).
  • Lightweight block ciphers balance security with minimal resource overhead for LRDs.
  • SIMON is a hardware-targeted lightweight block cipher.

Purpose of the Study:

  • To implement, optimize, and model the SIMON cipher for LRDs.
  • To emphasize energy and power consumption as critical metrics.
  • To evaluate different design implementations on Field-Programmable Gate Arrays (FPGAs).

Main Methods:

  • Implementation and optimization of SIMON cipher designs.
  • Examination of scalar and pipelined architectural implementations.
  • Performance analysis focusing on resource utilization, power, energy, and throughput using FPGA technology.

Main Results:

  • Scalar implementations used 39% fewer resources and 45% less power than pipelined ones.
  • Pipelined implementations achieved 12x higher throughput but consumed 31% less energy.
  • A two-round pipelined design was the most energy-efficient, consuming 31% of the best scalar's energy.

Conclusions:

  • The two-round pipelined implementation is optimal for continuous data streams, balancing energy and area.
  • One-round and two-round scalar implementations are recommended for intermittent data applications.
  • Design choices significantly impact energy efficiency and performance for LRDs.