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ENHANCING home security through visual CRYPTOGRAPHY

机译：通过视觉加密增强家庭安全

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摘要

Home security systems in the recent times have gained greater importance due to increasing threat in the society. Biometrics deals with automated approaches of recognizing a user or verifying the user identity based on behavioral or physiological features. Visual cryptography is a scheme of secret sharing where a secret image is encrypted into shares which disclose no data independently about the original secret image. As the template of biometric are stored in centralized database due to the threats of security the template of biometric may be changed by attacker. If the template of biometric is changed then the authorized user will not be permitted to access the resource. To manage this problem the schemes of visual cryptography can be used to secure the face recognition. Visual cryptography offers huge ways for supporting such needs of security as well as additional authentication layer. To manage this problem the visual cryptography schemes can be used to secure digital biometric information privacy. In this approach the face or private image is dithered in two varied host images that is sheets and are stored in separate servers of data so as to assure that the original image can get extracted only by accessing both sheets together at a time and a single sheet will not be capable to show any data of private image. The main aim of the study is to propose an algorithm which is a combination of CVC and Siamese network. This research implements visual cryptography for face images in a biometric application. The Siamese network is essential to solve one shot learning by representation of learning feature that are compared to verification tasks. In this research face authentication helps in accomplishing robustness by locating face image from an n input image. This research explores the availability of using visual cryptography for securing the privacy to biometric data. The results of the proposed approach provide an accuracy of 93% which is found to be superior when compared with that of the approaches that are already in practice.
机译：由于越来越多的社会威胁，最近的家庭安全系统在近期获得了更重要的。 Biometrics涉及认识到用户的自动方法或根据行为或生理特征验证用户身份。视觉密码术是秘密共享的方案，其中秘密图像被加密到​​共享，该共享概述没有独立于原始秘密图像公开数据。由于生物识别模板由于安全威胁而存储在集中数据库中，因此攻击者可以更改生物识别模板。如果改变生物识别模板，则不允许授权用户访问资源。为了管理这个问题，可以使用视觉加密的方案来保护人脸识别。 Visual Curiptography提供了支持这些安全性需求以及其他身份验证层的巨大方式。要管理此问题，可用于保护数字生物识别信息隐私。在这种方法中，面部或私人图像在作为纸张的两个变化的主机图像中抖动，并且存储在数据的单独的服务器中，以确保只能通过一次和单张纸张一起访问两个纸张来提取原始图像将无法显示任何私人图像的数据。该研究的主要目的是提出一种算法，该算法是CVC和暹罗网络的组合。该研究实现了生物识别应用中的面部图像的视觉密码术。暹罗网络对于通过与验证任务进行比较的学习功能来解决一个拍摄学习是必不可少的。在本研究中，面部认证有助于通过从N个输入图像定位面部图像来实现鲁棒性。本研究探讨了使用视觉加密的可用性，以将隐私保护到生物识别数据。所提出的方法的结果提供了93％的准确性，该准确性与已经在实践中的方法相比时发现更优越。

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