SVC BASED ENCRYPTION METHOD FOR PRIVACY PROTECTION IN SURVEILANCE VIDEO.

Saved in:

Bibliographic Details
Title:	SVC BASED ENCRYPTION METHOD FOR PRIVACY PROTECTION IN SURVEILANCE VIDEO.
Authors:	raj, T. Sugirtha¹, Subbiah, V.¹, sankar, P. Aathi¹, Rajagopal, S.¹
Source:	Turkish Online Journal of Qualitative Inquiry. 2021, Vol. 12 Issue 10, p4309-4321. 13p.
Subject Terms:	Video surveillance, Video compression, Cellular automata, Videos, Privacy
Abstract:	A multimedia video surveillance system main aim is to offer security of people who appear in the surveillance video. However, due to the nature of video surveillance, video will be stored in the server as original format of the video which is not safe. However, many cryptographic algorithm and techniques now applying in video surveillance to encrypt the video, e.g., AES and DES, but that are not suitable and efficeient for surveillance videos to encrypt the video because size of the video is large. In our method we introduce SVC based video compression technique and light weighted encryption technique in the existing video surveillance system. In our method, we propose bitstream-oriented layered cellular automata(LCA) encryption scheme for SVC. Using our approach, the compressed video organized as 8- layer cellular automata (CA) then it will converted into a binary block. The simple 8X8 layer evolution technique and layered shift transformation based on the hierarchy generated key make the particular video encryption efficiently. In order to offer more security, as well as achieving light weight requirement, we use hierarchical key management technique. It generate random key for shift transformation. Finally the encrypted video stored in the cloud. The experiment analysis and final outputs indicate that the proposed model achieves a high-security level, and light weight requirements for video surveilance. [ABSTRACT FROM AUTHOR]
	Copyright of Turkish Online Journal of Qualitative Inquiry is the property of Turkish Online Journal of Qualitative Inquiry and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Education Research Complete

Description
Abstract:	A multimedia video surveillance system main aim is to offer security of people who appear in the surveillance video. However, due to the nature of video surveillance, video will be stored in the server as original format of the video which is not safe. However, many cryptographic algorithm and techniques now applying in video surveillance to encrypt the video, e.g., AES and DES, but that are not suitable and efficeient for surveillance videos to encrypt the video because size of the video is large. In our method we introduce SVC based video compression technique and light weighted encryption technique in the existing video surveillance system. In our method, we propose bitstream-oriented layered cellular automata(LCA) encryption scheme for SVC. Using our approach, the compressed video organized as 8- layer cellular automata (CA) then it will converted into a binary block. The simple 8X8 layer evolution technique and layered shift transformation based on the hierarchy generated key make the particular video encryption efficiently. In order to offer more security, as well as achieving light weight requirement, we use hierarchical key management technique. It generate random key for shift transformation. Finally the encrypted video stored in the cloud. The experiment analysis and final outputs indicate that the proposed model achieves a high-security level, and light weight requirements for video surveilance. [ABSTRACT FROM AUTHOR]
ISSN:	13096591