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            <name>Title</name>
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                <text>Conference Papers</text>
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    <name>Conference Paper</name>
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          <name>Title</name>
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              <text>Efficiency Enhancement using Least Significant Bits Method in Image Steganography</text>
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          <name>Subject</name>
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              <text>Decode; Encode; Least Significant Bit (LSB) method; Steganography</text>
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              <text>Over the years, there has been a tremendous growth in the field of steganography. Steganography is a technique of hidden message passing i.e. transferring a message which is not visible to human eyes, through some media such as an image, music, games etc. In this particular article we focus on Image steganography which has its own advantages and has undergone a lot of improvements in the past years. The most basic image steganography can be achieved by changing the LSBs (Least Significant Bits) of the image pixels. These bits can usually be called the redundant bits. However, changing a large numbers of LSBs of an image can distort the image to an extent where it would be easily noticeable that the image maybe carrying a hidden message rendering it useless. These LSBs are changed according to the message bits allowing the person to hide their data which can be decoded later by reading the LSBs of image pixels. This paper introduces and explains a method to improve the efficiency of LSB method.  2022 IEEE</text>
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              <text>Subhasri P.; Santhoshkumar S.; Sumathi A.; Balakrishnan C.; Kurus Malai Selvi F.</text>
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              <text>International Conference on Automation, Computing and Renewable Systems, ICACRS 2022 - Proceedings, pp. 989-994.</text>
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          <name>Publisher</name>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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          <name>Date</name>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICACRS55517.2022.10029071" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICACRS55517.2022.10029071&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148322078&amp;amp;doi=10.1109%2FICACRS55517.2022.10029071&amp;amp;partnerID=40&amp;amp;md5=18e052c793954f022c36a6f9abd0cdc5" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85148322078&amp;amp;doi=10.1109%2fICACRS55517.2022.10029071&amp;amp;partnerID=40&amp;amp;md5=18e052c793954f022c36a6f9abd0cdc5&lt;/a&gt;</text>
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          <name>Rights</name>
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              <text>Restricted Access</text>
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              <text>ISBN: 978-166546084-2</text>
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          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
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              <text>Online</text>
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              <text>English</text>
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              <text>Conference paper</text>
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              <text>Subhasri P., Alagappa Institute of Skill Development, Alagappa University, Tamil Nadu, Karaikudi, India; Santhoshkumar S., Department of Computer Science, Alagappa University, Tamil Nadu, Karaikudi, India; Sumathi A., Department of CSE SRC, SASTRA Deemed to be University, Tamil Nadu, Kumbakonam, India; Balakrishnan C., Department of Computer Science, CHRIST (Deemed to be University), Yeshwantpur Campus, Bengaluru, India; Kurus Malai Selvi F., Department of Computer Science, Government College for Women, Tamil Nadu, Kumabkonam, India</text>
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