Multi-Level Steganography Aided with Compression

Elmahi, Mohamed Yousif; M.Wahbi, Talat

doi:10.1109/iccceee46830.2019.9071188

Cited by 5 publications

(1 citation statement)

References 1 publication

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“…Penggunaan Pseudorandom Number Generation (PRNG) untuk membangkitkan nilai acak diaplikasikan pada proses pengamanan dokumen [5]. PRNG juga digunakan untuk menanamkan pesan rahasia kedalam Covertext [6]. Penggunaan kondisi acak pada permainan sudoku juga menjadi sebuah solusi dalam menggenerate nilai yang acak [7].…”

Section: Pendahuluanunclassified

Modifikasi Model Enkripsi Encryption With Covertext and Reordering menggunakan Fungsi Random dan Tabel Permutasi

Ardhianto

Murti²,

Supriyanto³

et al. 2022

JIU

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Bagi entitas terbatas dokumen dapat bersifat rahasia dan penting, sehingga diperlukan mekanisme keamanan khhusus. Encryption with Covertext and Reordering (ECR) adalah salahsatu model keamanan dokumen berbasis teks. ECR menggunakan kunci acak untuk menghasilkan ciphertext. Kunci acak ECR dibuat secara manual. Penelitian ini bertujuan meningkatkan tingkat keamanan dokumen dengan menggunakan model enkripsi ECR. Kunci acak tabel permutasi diusulkan dalam perubahan model enkripsi ECR. Nilai acak akan dipilih secara otomatis menggunakan fungsi acak dari tabel permutasi. Dalam penelitian ini sebagai ukuran adalah entropi, yang merupakan nilai tingkat keamanan dokumen terenkripsi. Hasil eksperimen menunjukkan bahwa penyematan tabel permutasi dari kunci acak memberikan nilai entropi yang lebih baik, yang menyiratkan tingkat keamanan yang lebih baik. Penggunaan tabel permutasi kunci acak juga mempermudah penggunaan ECR untuk mengamankan dokumen

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Section: Pendahuluanunclassified

Modifikasi Model Enkripsi Encryption With Covertext and Reordering menggunakan Fungsi Random dan Tabel Permutasi

Ardhianto

Murti²,

Supriyanto³

et al. 2022

JIU

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A new method for locating data hiding in image steganography

Pramanik

2023

Multimed Tools Appl

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Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

Jayapandiyan

Kavitha

Sakthivel³

2020

IEEE Access

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Text Steganography has become a dominant research field in information sharing domain and many researches are being conducted to strengthen this area. Researches around the amount of secret message that could be stored in a given cover image is always critical for any steganography technique used to share the secret text. This research paper proposes an enhanced Least Significant Bit (eLSB) embedding technique in steganography, through which the quality of cover image is improved, when compared to typical LSB algorithm used in steganography. The proposed method employs in spatial domain and it does the secret message encoding in two phases. The first phase generates the metadata and embeds the header information in first few bytes of cover image and then the following phase takes care of processing secret message and storing the secret message in cover image using an optimized way, which is possible through analyzing secret text's character sequences. Proposed work results into occupying lesser space for the given secret text in cover image and hence leads to the better stego image quality than existing LSB algorithms. As the algorithm works on optimizing secret message during embedding phase itself, this technique enables high capacity embedding rate, additional security due to secret message preprocessing and enhanced cover image quality. The results are compared with LSB algorithm and compared to Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Root Mean Square Error (RMSE) values to prove the proposed algorithm performs better on secret text embedding in cover image.

show abstract

Multi-Level Steganography Aided with Compression

Cited by 5 publications

References 1 publication

Modifikasi Model Enkripsi Encryption With Covertext and Reordering menggunakan Fungsi Random dan Tabel Permutasi

Modifikasi Model Enkripsi Encryption With Covertext and Reordering menggunakan Fungsi Random dan Tabel Permutasi

A new method for locating data hiding in image steganography

Enhanced Least Significant Bit Replacement Algorithm in Spatial Domain of Steganography Using Character Sequence Optimization

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