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Evaluating Steganography Detection in JPEG Images Using Gaussian Mixture Model and Cryptographic Keys

This study introduces a novel approach that integrates Gaussian Mixture Models (GMM) with MD5 hash-based verification to detect hidden messages embedded via Least Significant Bit (LSB) steganography in JPEG images. Unlike previous methods, the proposed dual-layer technique combines probabilistic mod...

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Principais autores: Indrawan Ady Saputro, Febrianta Surya Nugraha, Lilik Sugiarto, Iwan Ady Prabowo
Format: Artigo
Sprog:Inglês
Udgivet: Ikatan Ahli Informatika Indonesia 2025-12-01
Serier:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Fag:
detection
gaussian mixture models
jpeg
machine learning
steganography
Online adgang:https://jurnal.iaii.or.id/index.php/RESTI/article/view/6084
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