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An efficient filtering based approach improving LSB image steganography using status bit along with AES cryptography

机译:一种有效的基于滤波的方法,使用状态位和AES密码技术来改善LSB图像隐写术

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In Steganography, the total message will be invisible into a cover media such as text, audio, video, and image in which attackers don't have any idea about the original message that the media contain and which algorithm use to embed or extract it. In this paper, the proposed technique has focused on Bitmap image as it is uncompressed and convenient than any other image format to implement LSB Steganography method. For better security AES cryptography technique has also been used in the proposed method. Before applying the Steganography technique, AES cryptography will change the secret message into cipher text to ensure two layer security of the message. In the proposed technique, a new Steganography technique is being developed to hide large data in Bitmap image using filtering based algorithm, which uses MSB bits for filtering purpose. This method uses the concept of status checking for insertion and retrieval of message. This method is an improvement of Least Significant Bit (LSB) method for hiding information in images. It is being predicted that the proposed method will able to hide large data in a single image retaining the advantages and discarding the disadvantages of the traditional LSB method. Various sizes of data are stored inside the images and the PSNR are also calculated for each of the images tested. Based on the PSNR value, the Stego image has higher PSNR value as compared to other method. Hence the proposed Steganography technique is very efficient to hide the secret information inside an image.
机译:在隐写术中,整个消息将不可见到诸如文本,音频,视频和图像之类的掩护媒体中,攻击者在其中不知道该媒体包含的原始消息以及用于嵌入或提取该消息的算法。在本文中,所提出的技术集中于位图图像,因为它比任何其他图像格式都经过压缩和方便,可以实现LSB隐写方法。为了获得更好的安全性,在所提出的方法中还使用了AES加密技术。在应用隐写术技术之前,AES密码术会将秘密消息更改为密文,以确保消息的两层安全性。在提出的技术中,正在开发一种新的隐写术技术,以使用基于过滤的算法隐藏位图图像中的大数据,该算法使用MSB位进行过滤。此方法使用状态检查的概念来插入和检索消息。此方法是用于在图像中隐藏信息的最低有效位(LSB)方法的改进。可以预见的是,提出的方法将能够在单个图像中隐藏大数据,同时保留了传统LSB方法的优点,并摒弃了缺点。各种大小的数据存储在图像内部,并且还针对每个测试图像计算PSNR。基于PSNR值,隐身图像具有比其他方法更高的PSNR值。因此,所提出的隐写术技术非常有效地将秘密信息隐藏在图像内部。

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