Modeling, hardware architecture, and performance analyses of an AEAD-based lightweight cipher

Ensuring data security and integrity is crucial for achieving the highest level of protection and performance in modern cyber-physical systems (CPS). Authenticated encryption with associated data (AEAD) is an efficient and secure way to encrypt data that ensures confidentiality and authenticity. The...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of real-time image processing 2024-04, Vol.21 (2), p.32, Article 32
Hauptverfasser: Jhawar, Kartik, Gandhi, Jugal, Shekhawat, Diksha, Upadhyay, Aniket, Harkishanka, Avadh, Chaturvedi, Nitin, Santosh, M., Pandey, Jai Gopal
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Ensuring data security and integrity is crucial for achieving the highest level of protection and performance in modern cyber-physical systems (CPS). Authenticated encryption with associated data (AEAD) is an efficient and secure way to encrypt data that ensures confidentiality and authenticity. The proposed work focuses on image encryption using the TinyJAMBU cipher within the AEAD scheme. In this paper, image encryption using the TinyJAMBU cipher with software and hardware modeling has been proposed, and image encryption evaluation over standard matrices has been performed. The hardware architecture for TinyJAMBU has been implemented on the Xilinx Virtex-7 FPGA device. The implementation results are compared with the realization of other contemporary ciphers that make TinyJAMBU-128’s implementation better in terms of look-up tables (LUTs), slice utilization, and power consumption. In the experimentation phase, the results of TinyJAMBU-128/192/256 for image encryption have been compared with existing image encryption techniques. It has been observed that, compared to other implementations, the proposed image encryption application using TinyJAMBU provides better results for PSNR, MSE, RMSE, and UACI.
ISSN:1861-8200
1861-8219
DOI:10.1007/s11554-024-01416-w