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Journal : Bulletin of Electrical Engineering and Informatics

The evaluation performance of letter-based technique on text steganography system Roshidi Din; Rosmadi Bakar; Sunariya Utama; Jamaluddin Jasmis; Shamsul Jamel Elias
Bulletin of Electrical Engineering and Informatics Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (386.851 KB) | DOI: 10.11591/eei.v8i1.1440

Abstract

Steganography is a part of information hiding in covering the hidden message in any medium such as text, image, audio, video and others. This paper concerns about the implementation of steganography in text domain called text steganography. It intends to concentrate on letter-based technique as one of the representative techniques in text steganography. This paper displays some techniques of letter-based that is integrated in one system technique displayeed in a logical and physical design. The integrated system is evaluated using some parameter that is used in order to discover the performance in term of capacity after embedding process and the time consuming in the development process. This paper is anticipated to contribute in describing the implementation of the techniques in one system and to display the performance some parameter evaluation.
Traid-bit embedding process on Arabic text steganography method Roshidi Din; Reema Ahmed Thabit; Nur Izura Udzir; Sunariya Utama
Bulletin of Electrical Engineering and Informatics Vol 10, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i1.2518

Abstract

The enormous development in the utilization of the Internet has driven by a continuous improvement in the region of security. The enhancement of the security embedded techniques is applied to save the intellectual property. There are numerous types of security mechanisms. Steganography is the art and science of concealing secret information inside a cover media such as image, audio, video and text, without drawing any suspicion to the eavesdropper. The text is ideal for steganography due to its ubiquity. There are many steganography embedded techniques used Arabic language to embed the hidden message in the cover text. Kashida, Shifting Point and Sharp-edges are the three Arabic steganography embedded techniques with high capacity. However, these three techniques have lack of performance to embed the hidden message into the cover text. This paper present about traid-bit method by integrating these three Arabic text steganography embedded techniques. It is an effective way to evaluate many embedded techniques at the same time, and introduced one solution for various cases.
Review on feature-based method performance in text steganography Mohd Hilal Muhammad; Hanizan Shaker Hussain; Roshidi Din; Hafiza Samad; Sunariya Utama
Bulletin of Electrical Engineering and Informatics Vol 10, No 1: February 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i1.2508

Abstract

The implementation of steganography in text domain is one the crutial issue that can hide an essential message to avoid the intruder. It is caused every personal information mostly in medium of text, and the steganography itself is expectedly as the solution to protect the information that is able to hide the hidden message that is unrecognized by human or machine vision. This paper concerns about one of the categories in steganography on medium of text called text steganography that specifically focus on feature-based method. This paper reviews some of previous research effort in last decade to discover the performance of technique in the development the feature-based on text steganography method. Then, ths paper also concern to discover some related performance that influences the technique and several issues in the development the feature-based on text steganography method.