DSpace logo

Please use this identifier to cite or link to this item: http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18731
Full metadata record
DC FieldValueLanguage
dc.contributor.authorDua, Amit-
dc.date.accessioned2025-04-23T04:20:05Z-
dc.date.available2025-04-23T04:20:05Z-
dc.date.issued2018-
dc.identifier.urihttps://www.taylorfrancis.com/chapters/edit/10.1201/9780429435461-7/security-cryptography-images-video-using-elliptic-curve-cryptography-ecc-piyush-raghav-amit-dua-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/18731-
dc.description.abstractThis chapter presents the analysis and evaluation of scalable video coding (SVC). It describes encryption and authentication schemes for SVC, respectively. An SVC bitstream consists of a low-quality video sub-bitstream as well as one or more supplement sub-bitstreams. Scalable video streaming techniques are widely used in real time content distribution due to their adaptability to a variety of heterogeneous network and platform settings. Partial encryption is to preserve multimedia property by treating different data in a multimedia stream differently according to their importance. The chapter investigates whether partial encryption in H.264/SVC can protect data confidentiality. Most video coding standards including MPEG-2, MPEG-4, and H.264 achieve compression by identifying similarities in the spatial and the temporal dimensions. The common flaw of existing transform-domain content-based authentication (CBA) schemes is that the feature extracted is insufficient to truly represent the video semantic. The chapter demonstrates transform-domain attack examples that can be applied on each category of CBA schemes.en_US
dc.language.isoenen_US
dc.publisherCRC Pressen_US
dc.subjectComputer Scienceen_US
dc.subjectScalable video coding (SVC)en_US
dc.subjectVideo streamingen_US
dc.subjectEncryption schemes for SVCen_US
dc.titleSecurity and cryptography in images and video using elliptic curve cryptography (ECC)en_US
dc.typeBook chapteren_US
Appears in Collections:Department of Computer Science and Information Systems

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.