<scp>AES</scp>‐8: A Lightweight <scp>AES</scp> for Resource‐Constrained <scp>IoT</scp> Devices

ABSTRACT Internet of Things (IoT) is marked by resource‐constrained devices. Information security is the main challenge that arises due to the wireless transmission of data by ubiquitous sensors. In this work, we have presented a lightweight advance encryption scheme (AES) that can be used in small IoT devices. Galois field arithmetic has been used to minimize the size of the S‐box. Slice consumption and throughput are two contradictory parameters in AES design. The design tries to achieve a tradeoff between these two parameters. With a separate S‐box for the key expansion, a high throughput in the range of 52–163 Mbps has been achieved on different FPGAs. In terms of throughput, it matches the latest lightweight designs and outperforms older ones. It occupies 73 slices on an Artix‐7 FPGA. When compared to existing AES designs, the design achieves area savings in the range of 4%–78.33%. In slice consumption, it is on par with most of the lightweight ciphers designed for IoT. The most remarkable feature of the design is its efficiency. It outperforms existing lightweight AES variants with a typical throughput per slice of 210 kbps/slice to 1.409 Mbps/slice. On Virtex‐5, AES‐8 has outperformed lightweight ciphers like Shadow‐64, LEA‐128, DULBC‐80/128, and QARMA. A 24%–67% resource reduction has been achieved from these ciphers. It makes the proposed cipher suitable for application in IoT security.

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Publication Details

Journal
Transactions on Emerging Telecommunications Technologies
Published
2025-03-01
DOI
https://doi.org/10.1002/ett.70094
Citations
3
Primary Topic
Cryptographic Implementations and Security
Type
article
Field-Weighted Citation Impact
7.44
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article

AES‐8: A Lightweight AES for Resource‐Constrained IoT Devices

Sumit Singh Dhanda, Vinod Kumar, Brahmjit Singh, Sachin Kumar Gupta et al.
3 citations
Transactions on Emerging Telecommunications Technologies
Cryptographic Implementations and Security
7.44
article

AES‐8: A Lightweight AES for Resource‐Constrained IoT Devices

Sumit Singh Dhanda, Vinod Kumar, Brahmjit Singh, Sachin Kumar Gupta, P. C. Jindal
article en
3 citations

Abstract

ABSTRACT Internet of Things (IoT) is marked by resource‐constrained devices. Information security is the main challenge that arises due to the wireless transmission of data by ubiquitous sensors. In this work, we have presented a lightweight advance encryption scheme (AES) that can be used in small IoT devices. Galois field arithmetic has been used to minimize the size of the S‐box. Slice consumption and throughput are two contradictory parameters in AES design. The design tries to achieve a tradeoff between these two parameters. With a separate S‐box for the key expansion, a high throughput in the range of 52–163 Mbps has been achieved on different FPGAs. In terms of throughput, it matches the latest lightweight designs and outperforms older ones. It occupies 73 slices on an Artix‐7 FPGA. When compared to existing AES designs, the design achieves area savings in the range of 4%–78.33%. In slice consumption, it is on par with most of the lightweight ciphers designed for IoT. The most remarkable feature of the design is its efficiency. It outperforms existing lightweight AES variants with a typical throughput per slice of 210 kbps/slice to 1.409 Mbps/slice. On Virtex‐5, AES‐8 has outperformed lightweight ciphers like Shadow‐64, LEA‐128, DULBC‐80/128, and QARMA. A 24%–67% resource reduction has been achieved from these ciphers. It makes the proposed cipher suitable for application in IoT security.

Transactions on Emerging Telecommunications TechnologiesVol. 36(3)
National Institute of Technology Kurukshetra (IN), Galgotias University (IN), IILM Institute for Higher Education (IN), Central University of Jammu (IN)
Openalex Percentile: Top 4%
Cryptographic Implementations and Security
7.44
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<scp>AES</scp>‐8: A Lightweight <scp>AES</scp> for Resource‐Constrained <scp>IoT</scp> Devices — Sumit Singh Dhanda, Vinod Kumar, et al. · Transactions on Emerging Telecommunications Technologies (2025) | TGRS Research Map | TGRS