International Journal for Research in Engineering Application & Management (IJREAM)

Source ID:00000217
Volume 4, Issue 12,March 2019, Pages 47-51, Page Count - 5

v-CSS: A Video Encryption Algorithm Based on Conversion, Shuffling and Substitution using Randomly Generated Grayscale Image

Kanagaraj Narayanasamy (1) Padmapriya Arumugam (2)

(1) Research Scholar, Alagappa University, Karaikudi, India.
(2) Associate Professor, Alagappa University, Karaikudi, India.

Manuscript ID:- 00000-95701
Access Type : Open Access
Read Full Article


Cite this article:Kanagaraj Narayanasamy,Padmapriya Arumugam,  V-css: A Video Encryption Algorithm Based On Conversion, Shuffling And Substitution Using Randomly Generated Grayscale Image, International Journal for Research in Engineering Application & Management(IJREAM), 2019, 4(12), PP.47-51

Manuscript Level Metrics (MLM)

Views Downloads Citations Cited References Social Shares
5 3 0 0

Abstract

With the enormous development of network and communication technology, the need of video encryption algorithms have more research focus from the past decade. Privacy protection of videos is a significant concern because of the sensitiveness information resides in the video. In this research paper, a new video encryption methodology has been proposed which is based on Conversion, Shuffling and Substitution using a randomly generated grayscale image. Cryptanalysis and Brute force attack have been done to assess the strength. The reliability of the proposed image and video algorithms are assessed through the results of Histograms, Mean values, Entropy measure, Peak Signal-to-Noise Ratio (PSNR), Mean Square Error (MSE), Number of Pixels Change Ratio (NPCR), and Unified Average Changing Intensity (UACI). The results reveal that the video algorithm is good enough to withstand attacks like statistical, differential and other attacks.
Author Keywords
Video Encryption Pixel Transformation Substitution Shuffling


ISSN Print: ISSN Online: 2454-9150
Source Type: Journals Document Type: Journal Article
Publication Language: English DOI: doi.org/10.18231/2454-9150.2019.0097
Abbreviated Journal Title: IJREAM Access Type: Open Access
Publisher Name: IJREAM Publishing House Resource Licence: CC BY-NC
Major Subject:Physical Sciences Subject Area classification: Computer Science
Subject area: Signal Processing Source: SCOPEDATABASE