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Lestariningsih, Tri
Politeknik Negeri Madiun
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Ekstraksi Blind Data Tersemat LSB dari Citra PNG melalui Force Decode Multi-Arah Ikhwan Baidlowi Sumafta; Ahmad Hamdani; Tri Lestariningsih; Ghali Marzani; Bayu Prasetiyo Utomo; Dionesyus Divo Crista Marvino
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.3891

Abstract

Digital images are widely utilized as carriers for covert communications through steganography. However, this technique is increasingly exploited to conceal malicious payloads, such as malware, without altering visual appearances. While the Least Significant Bit (LSB) method remains popular due to its high visual imperceptibility, existing steganalysis techniques often fail to recover hidden content when insertion parameters are unknown. This study evaluates the effectiveness of the Force Decode strategy as an exploratory blind steganalysis approach to extract LSB payloads from PNG images without prior knowledge of embedding configurations. Employing a quantitative comparative experimental design, the proposed system was implemented in Python. The method extracts LSBs across the red, green, and blue (RGB) color channels, reconstructs binary sequences through eight pixel-scanning orientations, and converts them into ASCII text. Evaluation was conducted on fifteen stego-image datasets representing five insertion complexity levels, ranging from single-channel alphabetic messages to multi-channel random combinations of letters, numbers, and symbols. The experimental results demonstrate that Force Decode successfully generated textual output across all datasets regardless of insertion complexity. Low-complexity datasets yielded highly legible messages with minimal noise, whereas high-complexity scenarios produced a hybrid of meaningful text fragments and random characters. Despite increased noise in complex configurations, the method consistently revealed latent payload content without prior parameter knowledge. These findings confirm that Force Decode is a viable and effective exploratory steganalysis technique for PNG images, laying a practical foundation for future research on reliable blind LSB extraction and automated interpretation systems.
Co-Authors Ahmad Hamdani Ahmad Kudhori Angger Binuko Paksi Anggraeny, Shinta Noor Ardian Prima Atmaja Bayu Prasetiyo Utomo Brissa Ramadhana Budi Artono Budi Artono Clarista Bunga Ramadhani Dinar Nur Izzah Dionesyus Divo Crista Marvino Eda Maaliah Fredy Susanto Ghali Marzani Hendrik Kusbandono Ikhwan Baidlowi Sumafta Kudhori, Ahmad Kunto Aji Yudhoyono MH. Ramdhani Ismar Muh Azis Muhammad Javar Muhammad Syaeful Fajar Muhammad Taali Nisa'ul Hafidhoh Nisa'ul Hafidhoh Raden Jasa Kusumo Haryo Rino Wiwoho Setia, Lutfiyah dwi Shinta Anggraeny Srimiatun Suhasto, RB. Iwan Noor Susilo Veri Yulianto Triana Prihatinta Yosi Afandi