Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The rapid proliferation of Internet of Things (IOT) devices has intensified the demand for secure yet resource-efficient cryptographic solutions. Although the Advanced Encryption Standard (AES) remains the dominant symmetric encryption algorithm due to its strong security guarantees, its conventional implementation imposes considerable computational and power overhead, making it less suitable for constrained IOT nodes. Lightweight modifications of AES have therefore been proposed to balance security, performance, and hardware efficiency.
This survey presents a comprehensive review of FPGA-based implementations of modified lightweight 128-bit AES architectures tailored for IOT applications. It analyzes architectural optimizations, algorithmic modifications, hardware-aware design strategies, and performance trade-offs. Particular emphasis is placed on reduced-round encryption, optimized substitution and diffusion mechanisms, Galois field simplification, and resource-sharing techniques. The study highlights how FPGA platforms enable flexible, scalable, and power-efficient deployment of lightweight AES designs while maintaining acceptable cryptographic strength.
"A survey on FPGA Implementation of Modified Lightweight 128-Bit AES Algorithm for IoT Applications", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 2, page no.b174-b184, February-2026, Available :http://www.ijrti.org/papers/IJRTI2602122.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator