Lossless Text Compression Technique with LSB Technique to Hide Secret Message inside an Image (CLSB)
This paper presents CLSB algorithm to improve and increase the security ofhiding message inside an image by using Least Significant Bit (LSB) method. This research attempts to improve the way has been introduced in [1], where they use digital images to hide Secret Text files. This method is working by distributing data (BMP image format) randomly without use any table to store the path of hiding data. CLSB propose new method to reduce size of dictionary index. Therefore, the main objective of this research is to develop a new method to increase the security by adding a secret key to decode and improve the quality by using LZW method to reduce the size of text file before hiding. Results proved and has also presented in this paper.
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[1] Maan Abdul Khaliq and Aamir Sohail (2010). New Method for Using Digital Images to Hide Secret Text files", Academic scientific journals Iraqi, volume 23 Issue : 6 pages:44-55.[2] Piyush Goel (2008). Data Hiding in Digital Images: A Steganographic Paradigm. Master's thesis in Computer Science and Engineering, Indian Institute of Technology Kharagpur.
[3] Neha harm, Mr.J.S.Bhatia and Neena Gupta (2014) . Aa Crypto Stegotechnique Based Secure Data Transmission System, [online] Available: http://www.researchgate.net/publication, May 31.
[4] Stuti Goel, Arun Rana & Manpreet Kau (2013). A Review of Comparison Techniques of Image Steganography. Global Journal of Computer Science and Technology Graphics & Vision, Volume 13 Issue 4 Versions 1.0.
[5] Ravi kumar, Kavita Choudhary, Nishant Dubey (2013). An Introduction of Image Steganography Techniques and Comparison", International Journal of Electronics and Computer Science Engineering, ISSN 2277-1956/V1N31000-1005.
[6] Shawn D. Dickman (2007). An Overview of Steganography", James Madison University Infosec Tech report, Department of Computer Science.
[7] Haroon Altarawneh , Mohammad (2011). Altarawneh"Data Compression Techniques on Text Files: A Comparison Study. International Journal of Computer Applications (0975 8887) Volume 26 No.5.
[8] R. Kaur and M. Goyal (2013). A Survey on the different text data compression techniques. International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) Volume 2, Issue 2.
- ISSN: 2147-6799
- Başlangıç: 2013
- Yayıncı: Ismail SARITAS
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