Steganography using Spatial Domain Techniques
Sumeet Kaur1, R. K. Bansal2, Savina Bansal3
1Sumeet Kaur*, Research Scholar, IKGPTU, Jalandhar.
2Savina Bansal, GZS College of Engg. & Technology, Bathinda, India. RK Bansal, GZS College of Engg. & Technology, Bathinda, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 26, 2019. | Manuscript published on 30 November, 2019. | PP: 3369-3373 | Volume-8 Issue-4, November 2019. | Retrieval Number: C6586098319/2019©BEIESP | DOI: 10.35940/ijrte.C6586.118419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In present world data transfer using the internet is growing. It is very easy and fast way to transfer information like confidential documents, economic transactions, business applications and other covert information over internet. With the advent and growth of internet, people are more concerned about security of information. Data Security is important while data is transferred over internet because any illegal user can access important and private data also make it worthless. Research in data security area will help government agencies, military organization and private companies to securely transmit their confidential data over internet. From past few years various steganography techniques have been developed to hide secret message using various multimedia objects having large amount of redundant data to support steganography. In this paper introduction about steganography, related concepts and implementation of commonly used spatial domain techniques like LSB(Least Significant Bit Technique) with modulus, PVD(Pixel Value Difference) with LSB replacement and adaptive data hiding over edges with LSB are considered. It is observed(while visual, statistical analysis and experiments were carried out) with benchmark cover and stego objects that embedding same amount of secret data in each pixel leads to more visible distortions in a stego image because all pixels do not bear same amount of changes and this effect is more observed in smooth area then edges. Improving stego image imperceptibility and adjusting hiding capacity adaptively are major related research challenges about spatial domain techniques.
Keywords: Steganography, Secret Data, Spatial Domain, Redundant Data.
Scope of the Article: Artificial Intelligent Methods, Models, Techniques.