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Efficient PPA Nano AES for IoT Applications

Authors: Dr. Yogesh G S; Dr. Anitha R; Sagar S;

Efficient PPA Nano AES for IoT Applications

Abstract

Abstract: Due to the fast-growing number of connected tiny devices to the Internet of Things (IoT), providing end-to-end security is vital. Therefore, it is essential to design the cryptosystem based on the requirement of resource constrained IoT devices. This article presents a lightweight advanced encryption standard (AES), a high-secure symmetric cryptography algorithm, implementation on field-programmable gate array (FPGA) and 65-nm technology for resource-constrained IoT devices. The proposed architecture includes 8-bit data path and five main blocks. We design two specified register banks, Key-Register and State-Register, for storing the plain text, keys, and intermediate data. To reduce the area, Shift-Rows is embedded inside the State-Register. To adapt the Mix-Column to 8-bit data path, we design an optimized 8-bit block for Mix-Columns with four internal registers, which accept 8-bit and send back 8-bit. Also, a shared optimized Sub-Bytes is employed for the key expansion phase and encryption phase. To optimize Sub-Bytes, we merge and simplify some parts of the Sub-Bytes. To reduce power consumption, we apply the clock gating technique to the design. Application-specific integrated circuit (ASIC) implementation results show a respective improvement in the area over the previous similar works from 35% to 2.4%. Based on the results, the proposed design is a suitable cryptosystem for tiny IoT devices. Keywords: IOT, Clock gating technique, ASIC

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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