Securing Multi-Media Transmission over Mobile Communications Channels: Efficient Multimedia In-Compression Encryption Technique

Elsaid, Shaimaa A.

ISBN 10: 365920059X / ISBN 13: 9783659200595

Published by LAP LAMBERT Academic Publishing, 2012

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Bibliographic Details

• Title: Securing Multi-Media Transmission over Mobile Communications Channels: Efficient Multimedia In-Compression Encryption Technique
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 365920059X
• ISBN 13: 9783659200595
• Binding: Paperback
• Condition: Like New
• Book Type: book

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Synopsis

Multimedia is one of the most popular data transmitted over mobile and wireless communication channels. Image encryption is often achieved by using one of three approaches; traditional, selective, or in-compression encryption techniques. The most suitable one for multimedia encryption approach is the in-compression encryption approach since it has the advantages of both traditional and selective techniques. In this book, a new in-compression encryption technique for efficient and secure multimedia transmission is proposed. It is a general-purpose technique meaning that it can be used with any bit-string. It depends on a statistical model of the images to be encrypted and compressed to generate Optimized Multiple Huffman Tables (OMHT). These tables are used to encode-encrypt the compressed image according to a secret order (secret key). Only receivers that have the secret key can decode/decrypt the received bit stream. The effectiveness of this scheme is verified through a series of experiments, and the robustness of developed approach is demonstrated by comparing its performance with those of the traditional,and selective techniques.

About the Author

Shaimaa is now an Assistant Professor at Faculty of Engineering, Zagazig University, Egypt. She has received the MSc (2006) in Network Security and PhD (2011) in Multimedia Security. Her current research interests include Mobile Networks,Routing security,Data Mining,Image Processing, Multimedia Security,Medical Imaging,and artificial neural network