Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems

Augmentation in communication and coding technology has made encryption an integral part of secure multimedia communication systems. Security solution for end-to-end image transmission requires content adaptation at intermediate nodes, which consumes significant resources to decrypt, process, and re...

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Main Authors: Nidhi Goel, Balasubramanian Raman, Indra Gupta
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2014/910106
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author Nidhi Goel
Balasubramanian Raman
Indra Gupta
author_facet Nidhi Goel
Balasubramanian Raman
Indra Gupta
author_sort Nidhi Goel
collection DOAJ
description Augmentation in communication and coding technology has made encryption an integral part of secure multimedia communication systems. Security solution for end-to-end image transmission requires content adaptation at intermediate nodes, which consumes significant resources to decrypt, process, and reencrypt the secured data. To save the computational resources, this paper proposes a network-friendly encryption technique, which can be implemented in transparency to content adaptation techniques. The proposed encryption technique maintains the compression efficiency of underlying entropy coder, and enables the processing of encrypted data. Thorough analysis of the technique, as regards various standard evaluation parameters and attack scenarios, demonstrates its ability to withstand known-plaintext, ciphertext-only, and approximation attacks. This justifies its implementation for secure image transmission for end-to-end communication systems.
format Article
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language English
publishDate 2014-01-01
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series Advances in Multimedia
spelling doaj-art-e06c1db515b74b46805d45fce4fd25292025-02-03T07:25:04ZengWileyAdvances in Multimedia1687-56801687-56992014-01-01201410.1155/2014/910106910106Chaos Based Joint Compression and Encryption Framework for End-to-End Communication SystemsNidhi Goel0Balasubramanian Raman1Indra Gupta2Department of Electronics & Communication Engineering, Delhi Technological University, New Delhi 110042, IndiaDepartment of Computer Science Engineering, Indian Institute of Technology, Roorkee 247667, IndiaDepartment of Electrical Engineering, Indian Institute of Technology, Roorkee 247667, IndiaAugmentation in communication and coding technology has made encryption an integral part of secure multimedia communication systems. Security solution for end-to-end image transmission requires content adaptation at intermediate nodes, which consumes significant resources to decrypt, process, and reencrypt the secured data. To save the computational resources, this paper proposes a network-friendly encryption technique, which can be implemented in transparency to content adaptation techniques. The proposed encryption technique maintains the compression efficiency of underlying entropy coder, and enables the processing of encrypted data. Thorough analysis of the technique, as regards various standard evaluation parameters and attack scenarios, demonstrates its ability to withstand known-plaintext, ciphertext-only, and approximation attacks. This justifies its implementation for secure image transmission for end-to-end communication systems.http://dx.doi.org/10.1155/2014/910106
spellingShingle Nidhi Goel
Balasubramanian Raman
Indra Gupta
Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems
Advances in Multimedia
title Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems
title_full Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems
title_fullStr Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems
title_full_unstemmed Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems
title_short Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems
title_sort chaos based joint compression and encryption framework for end to end communication systems
url http://dx.doi.org/10.1155/2014/910106
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