Video protection and access control have gathered steam over recent years. However, the most common methods encrypt the whole video bit stream as unique data without taking into account the structure of the compressed video. These full encryption solutions are time and power consuming and, thus, are not aligned with the real-time applications. In this paper, we propose a Selective Encryption (SE) solution for Region of Interest (ROI) security based on the tile concept in High Efficiency Video Coding (HEVC) standards and selective encryption of all sensitive parts in videos. The SE solution depends on a chaos-based stream cipher that encrypts a set of HEVC syntax elements normatively, that is, the bit stream can be decoded with a standard HEVC decoder, and a secret key is only required for ROI decryption. The proposed ROI encryption solution relies on the independent tile concept in HEVC that splits the video frame into independent rectangular areas. Tiles are used to pull out the ROI from the background and only the tiles figuring the ROI are encrypted. In inter coding, the independence of tiles is guaranteed by limiting the motion vectors of non-ROI to use only the unencrypted tiles in the reference frames. Experimental results have shown that the encryption solution performs secure video encryption in a real time context, with a diminutive bit rate and complexity overheads.
يتم استخدام انظمة المقاييس الحيوية للتحقق من الشخص بناءً على الخصائص الخاصة للشخص والتي استخدمتها في تطبيقات واسعة مثل الاتصالات الآمنة والتجارة حيث تتطلب مصادقة هوية الشخص. يستخدم نظام التعرف على الاشخاص بأستخدام قزحية العين على نطاق واسع لاستقراره وتفرده مقارنة بأنظمة المقاييس الحيوية الأخرى. يتكون نظام التعرف القائم على القزحية من مراحل هي توطين القزحية وتطبيعها واستخراج المميزات والمطابقة. تأثير استخراج المميزات كبير على دقة وموثوقية نظام القياسات الحيوية. في هذا العمل ، تم إجراء مسح لبعض أحدث الأعمال البحثية ومقارنتها من حيث الدقة في تميز الافراد.
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