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Light-Weight Present Block Cipher Model for IoT Security on FPGA

R. Bharathi*, N. Parvatham

Department of Electronics & Communication Engineering, PRIST University, Tamilnadu, 613403, India

* Corresponding Author: R. Bharathi. Email: email

(This article belongs to this Special Issue: Soft Computing Methods for Intelligent Automation Systems)

Intelligent Automation & Soft Computing 2022, 33(1), 35-49. https://doi.org/10.32604/iasc.2022.020681

Abstract

The Internet of Things (IoT) plays an essential role in connecting a small number of billion devices with people for diverse applications. The security and privacy with authentication are challenging work for IoT devices. A light-weight block cipher is designed and modeled with IoT security for real-time scenarios to overcome the above challenges. The light-weight PRESENT module with the integration of encryption (E)-decryption (D) is modeled and implemented on FPGA. The PRESENT module has 64-bit data input with 80/128/256-bit symmetric keys for IoT security. The PRESENT module performs16/32/64 round operations for state register and key updation. The design mainly uses Substitution-permutation (SP) network for state updation. The permutation layer is used to create more diffusion and confusion in the state for unauthorized access. The results and analysis of the PRESENT-80/128/256 are designed using Verilog-HDL with Xilinx Environment and implemented on Artix-7 FPGA. The PRESENT-80/128/256 module is compared with similar recent works with performance improvements. Similarly, the proposed work is compared with different light-weight algorithms with improvements for better security in IoT devices. The proposed PRESENT-256 module with 64-rounds on Artix-7 FPGA utilizes less than 2% Chip area (Slices and LUTs), works at 412.4 MHz frequency, and consumes 192 mW total power and 0.58 Mbps/slice of hardware efficiency.

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Cite This Article

R. Bharathi and N. Parvatham, "Light-weight present block cipher model for iot security on fpga," Intelligent Automation & Soft Computing, vol. 33, no.1, pp. 35–49, 2022.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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