Video security assurance framework based on efficient Joint Cryptography Compression approach

Securing video content transmission is a highly demanded subject for various applications and objectives such as privacy in surveillance and military confidentiality. A promising approach called Joint Encryption Compression (JEC) is considered to be a balance between video security and efficiency. JEC approach is based on involving encryption within video compression processes. However, the state of the art JEC approach lacks a major security aspect; a well defined structured framework considering the Video Security Assurance (VSA). The aim of this PhD research1 is to design, implement and evaluate an efficient VSA framework based on JEC for surveillance application. This framework will involve the combination of a set of cryptographic functionalities such as signing, hashing and encryption to achieve the VSA objectives. The proposed framework will utilize a set of classification studies and methodologies such as selectivity, non-equality and scalability in order to develop an efficient computation adaptation approach.