Embedded Multimedia Security Systems: Algorithms and Architectures

ISBN-13: 9781447144588 / Angielski / Twarda / 2012 / 146 str.

Amit Pande; Joseph Zambreno

Opis

Embedded multimedia systems have been widely deployed in a multitude of applications, yet their use has lead to increasing concern over the security of the resultant multimedia data.This unique text presents a new perspective on the design of such multimedia systems. Opening with a detailed review of existing techniques for selective encryption, the book then examines algorithms that combine both encryption and compression, inspiring the reader to develop novel solutions to video encryption problems. The work also presents a selection of specific examples of the design and implementation of secure embedded multimedia systems.Topics and features: reviews the historical developments and latest techniques in multimedia compression and encryption; discusses an approach to reduce the computational cost of multimedia encryption, while preserving the properties of compressed video; introduces a polymorphic wavelet architecture that can make dynamic resource allocation decisions according to the application requirements; proposes a light-weight multimedia encryption strategy based on a modified discrete wavelet transform; describes a reconfigurable hardware implementation of a chaotic filter bank scheme with enhanced security features; presents an encryption scheme for image and video data based on chaotic arithmetic coding.This text will be of great interest to anyone interested in the marriage of video coding, encryption and hardware implementation, be they students of computer science, researchers in computer communications and security, or practitioners involved in algorithm and hardware engineering, and chip and system architecture.

Spis treści

Part I: Multimedia Systems

Introduction

Advances in Multimedia Encryption

Securing Multimedia Content using Joint Compression and Encryption

Part II: Examples

Polymorphic Wavelet Transform

The Secure Wavelet Transform

Chaotic Filter Banks

Chaotic Arithmetic Coding

Conclusion

O autorze

Dr. Amit Pande is an NSF Computing Innovation Fellow at the Department of Computer Science of the University of California, Davis, USA. Dr. Joseph Zambreno is an Associate Professor and Co-Director of the Reconfigurable Computing Lab at Iowa State University, Ames, USA.