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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Autors principals:	Indrawan Ady Saputro, Febrianta Surya Nugraha, Lilik Sugiarto, Iwan Ady Prabowo
Format:	Artigo
Idioma:	Inglês
Publicat:	Ikatan Ahli Informatika Indonesia 2025-12-01
Col·lecció:	Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Matèries:	detection gaussian mixture models jpeg machine learning steganography
Accés en línia:	https://jurnal.iaii.or.id/index.php/RESTI/article/view/6084
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