A Fast Selective Video Encryption Technique

Authors

  • Manju Sharma  Lecturer (Sel.Grade) Govt. Women Polytechnic College, Ajmer, Rajasthan, India
  • Dr. Kalpana Sharma   Assistant Professor, Computer Science, Bhagwant University, Rajasthan, India
  • Harish Maurya  Assistant Professor, Computer Science, Bhagwant University, Rajasthan, India

Keywords:

Video encryption, DWT, DCT, motion estimation

Abstract

With the rapid development of communication technologies, different multimedia applications have become increasingly popular. The availability of internet at low cost and development of ubiquitous networks has led to increased sharing of information in the form of videos and video streaming. For secure transmission of videos, the videos must be protected from unauthorized use. Uncompressed digital video takes up large amount of storage or bandwidth. Video compression makes it possible to send or store digital video in a smaller, compressed form. Since a video consist of large number of images, encrypting the entire video increases the computational cost and is time consuming. For fast and real time video encryption, selective video encryption techniques are used. Selective encryption can be based on type of frame – I frame, P-frame, B-frame or based on motion detection or combination of both. This paper proposes a video encryption based on fast motion detection. The I, P and B frames are encrypted only when a motion is detected between the frames. Since I-frame contains more information and serves as reference point for both P and B frame, it is encrypted with more secure encryption method as compared to P and B frame. But encryption method used for P and B frame is must faster as compared to the method used for I – frame, which makes the encryption process faster.

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Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Manju Sharma, Dr. Kalpana Sharma , Harish Maurya, " A Fast Selective Video Encryption Technique, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1689-1695, March-April-2018.