New Hybrid Proposed Solution for Video Steganography Based on Clustering Algorithm

1. Introduction

Nowadays, with advancement in digital communication technology and the very faster growth of computer storage and power, the difficulty in ensuring individual privacy become increasingly challenging. The degree to which every individual appreciates security and privacy differs from one person to another. Indeed, various solutions and methods have been developed and investigated to protect the personal privacy. Encryption is probably the most obvious one, and then comes steganography.

Encryption is observed while steganography is not observable generally and when it lends itself to noise. Interest from the scientific community has escalated in the past few years in relation to steganography.

Indeed, the security is enhanced by using steganography technique. The data is to be embedded in this technique will be encrypted first as show in Figure 1. This procedure assures security since there are two stages:

• 1.

  Encryption

• 2.

  Steganography

Figure 1.

Steganography technique description

Indeed, video is the technology of electronically recording, transmitting, storing, capturing, and reconstructing a sequence of still images representing scenes in motion. Indeed, video Frame rate, is the number of pictures per unit of time. The range from seven or nine frames per second (frame/s). The size of a video image is measured in pixels for the digital videos. Vertical scan lines and horizontal lines of resolution for analog video. The aspect ratios describe the dimensions of video picture elements and video screens. Each popular video format is rectilinear, and it can be described by a ratio between height and width. Video quality of service (QoS) can be measured with subjective quality using expert observations or by the PSNR which is one example of formal metrics.