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.