Volume 1 Number 5 (Dec. 2009)
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IJCEE 2009 Vol.1 (5): 572-578 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2009.V1.88

Stego-Image Vs Stego-Analysis System

B.B Zaidan, A.A Zaidan, Alaa Taqa and Fazida Othman

Abstract—Steganography is the idea of hiding private, sensitive data or information within something that appears to be nothing but normal, in this article the author invent comprehensive study on this stego-image; in fact, there are some factors discussed experimentally such as steganography classification, applied algorithms, Stego-image, the impact of data hidden on the image texture, in the other hand the author named the most commend methods used by the attackers to against the data hidden in image. As it shown below there are three illustrious technique used, sequentially, statistical technique, try and error technique and finally histogram technique; theses techniques has been discussed in details and evidenced by some experiment result.

Index Terms—Steganography, Hidden Data, HVS, Stego Image ,Attacker, High Rate Data Hidden

B. B. Zaidan - PhD candidate, Department of Computer Science &Information Technology, University Malaya, Kuala Lumpur, Malaysia,bilal@perdana.um.edu.my.
A. A. Zaidan - PhD candidate, Department of Computer Science &Information Technology, University Malaya, Kuala Lumpur, Malaysia,phone: +60172452457, Postcode: 50603 and Email:awsalaa@perdana.um.edu.my or aws.alaa@yahoo.com.
Alaa Taqa - Visitor Researcher , Department of Computer Science &Information Technology, University Malaya, Kuala Lumpur, Malaysia, ,Postcode: 50603 ,Email:alaa_taka@yahoo.com.
F. Othman- Mrs. Fazidah Othman - Lecturer, Department of Computer Science & Information Technology, University Malaya, Kuala Lumpur,Malaysia, fazidah@um.edu.my.

Cite: B.B Zaidan, A.A Zaidan, Alaa Taqa and Fazida Othman, "Stego-Image Vs Stego-Analysis System," International Journal of Computer and Electrical Engineering vol. 1, no. 5, pp. 572-578, 2009.

General Information

ISSN: 1793-8163
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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