A Peculiar Image Encryption Technique For Mobile Application

R. Krithika, J. Ponsam
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Abstract

The upgradation in the field of mobile applications is predominantly increasing. Nowadays mobile applications are used in various platforms on one-handled devices in addition, attackers can use similar technology to anonymize their malicious behaviors and hide their identification of behaviors. Thus, security is important. In this project, we are focusing on the precautionary encryption and decryption algorithms like PNSR metric and Elliptic curve Digital signature algorithm which help us to provide secured transmission of a personal image between the mobile stations. Based on these algorithms a defense application will be developed. There are 4 different levels of technology that will be applied in this project which help to improve security transmission. The first level is selecting a secret image. The secret image will support file types like jpg,png. In the second level of security, we encode the image that we get from thefirst level using an encryption algorithm. Here the image quality is measured by using PSNR metric, the third level is finding the LSB, along with 3m (Mean,Mean,Mode) of the image to hide the message inside the cover image. Then the obtained stegnographic image is compressed using GZIP is the final security level. An Elliptic curve, a Digital signature algorithm is used to enhancea security process. Therefore, this method is suggested to send a secret message through applications of special importance across the mobile application.
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一种特殊的移动应用图像加密技术
移动应用领域的升级正在显著增加。如今,移动应用程序在单手设备的各种平台上使用,攻击者可以使用类似的技术来匿名化其恶意行为,隐藏其对行为的识别。因此,安全性很重要。在这个项目中,我们专注于预防性加密和解密算法,如PNSR度量和椭圆曲线数字签名算法,这些算法帮助我们在移动站之间提供个人图像的安全传输。基于这些算法,将开发一个防御应用程序。该项目将应用4个不同级别的技术,有助于提高安全传输。第一个关卡是选择一个秘密图像。秘密图像将支持jpg、png等文件类型。在第二级安全中,我们使用加密算法对从第一级获得的图像进行编码。这里的图像质量是通过使用PSNR度量来衡量的,第三个级别是找到LSB,以及图像的3m(均值,均值,模式)来隐藏封面图像内的信息。然后使用GZIP压缩得到的隐写图像是最终的安全级别。采用椭圆曲线算法和数字签名算法来提高安全性。因此,建议使用该方法在移动应用中通过特别重要的应用发送秘密消息。
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