A deep learning-driven multi-layered steganographic approach for enhanced data security

A deep learning-driven multi-layered steganographic approach for enhanced data security

Abstract In the digital era, ensuring data integrity, authenticity, and confidentiality is critical amid growing interconnectivity and evolving security threats. This paper addresses key limitations of traditional steganographic methods, such as limited payload capacity, susceptibility to detection,...

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Bibliographic Details
Main Authors: Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Data security
Huffman encoding
Image embedding
Steganography
LSB embedding
Online Access:https://doi.org/10.1038/s41598-025-89189-5
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