• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2018, Volume: 11, Issue: 34, Pages: 1-6

Original Article

Information Security using Steganographic Method: Genetic Algorithm and Texture Features


Objectives: There is an oversized want of web applications that needs the information to be transmitted in a safer method. Steganography and cryptography help in providing information security. Steganography hides the data by inserting the information into another image format. For maintaining the defense of information thrashing and communication over a network, the steganography based anticipated system uses cryptographical based algorithmics by means of Steganography. Method/Statistical Analysis: A combination of Genetic Algorithm (GA) along with the texture featuresis employed in this paper for effective information hiding in image wherever the data is to be hidden so that detection of embedded information becomes multifaceted. Initially the feature extraction is done, and it is combined with the GA. Findings: Within the anticipated system, the data that we would like to create in a protected form is initially compressed to a shrinkable size so that the compressed information is remodeled into cipher text by applying the combination of GA and Texture features algorithmic program. Experiment results reveal that the proposed combination for steganography obtains more accurate results when compared to the other algorithms. Application/Improvements: Future enhancements in the present work would be an enhanced algorithm which can be applied to different types and sizes of images. 

Keywords: AES Algorithm; Computer Security, Cryptography, Genetic Algorithm, Steganography, Texture Features 


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