A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images

Shiguo Lian; Guanrong Chen; Albert Cheung; Zhiquan Wang

doi:10.1007/978-3-540-28648-6_100

A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images

Shiguo Lian^*, Guanrong Chen, Albert Cheung, Zhiquan Wang

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

38 Citations (Scopus)

Abstract

In this paper, a cipher based-on chaotic neural network is proposed, which is used to encrypt JPEG2000 encoded images. During the image encoding process, some sensitive bitstreams are selected from different subbands, bit-planes or encoding-passes, and then are completely encrypted. The algorithm has high security with low cost; it can keep the original file format and compression ratio unchanged, and can support direct operations such as image browsing and bit-rate control. These properties make the cipher very suitable for such real-time encryption applications as image transmission, web imaging, mobile and wireless multimedia communication. © Springer-Verlag 2004.

Original language	English
Title of host publication	Advances in Neural Networks - ISNN 2004
Subtitle of host publication	International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II
Editors	Fu-Liang Yin, Jun Wang, Chengan Guo
Place of Publication	Berlin, Heidelberg
Publisher	Springer
Pages	627-632
ISBN (Electronic)	978-3-540-28648-6
ISBN (Print)	978-3-540-22843-1
DOIs	https://doi.org/10.1007/978-3-540-28648-6_100
Publication status	Published - 2004
Event	International Symposium on Neural Networks (ISNN 2004) - Dalian, China Duration: 19 Aug 2004 → 21 Aug 2004

Publication series

Name	Lecture Notes in Computer Science
Volume	3174
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Symposium on Neural Networks (ISNN 2004)
Abbreviated title	ISNN
Place	China
City	Dalian
Period	19/08/04 → 21/08/04

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Lian, S., Chen, G., Cheung, A., & Wang, Z. (2004). A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images. In F.-L. Yin, J. Wang, & C. Guo (Eds.), Advances in Neural Networks - ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II (pp. 627-632). (Lecture Notes in Computer Science; Vol. 3174). Springer . https://doi.org/10.1007/978-3-540-28648-6_100

Lian, Shiguo ; Chen, Guanrong ; Cheung, Albert et al. / A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images. Advances in Neural Networks - ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II. editor / Fu-Liang Yin ; Jun Wang ; Chengan Guo. Berlin, Heidelberg : Springer , 2004. pp. 627-632 (Lecture Notes in Computer Science).

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title = "A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images",

abstract = "In this paper, a cipher based-on chaotic neural network is proposed, which is used to encrypt JPEG2000 encoded images. During the image encoding process, some sensitive bitstreams are selected from different subbands, bit-planes or encoding-passes, and then are completely encrypted. The algorithm has high security with low cost; it can keep the original file format and compression ratio unchanged, and can support direct operations such as image browsing and bit-rate control. These properties make the cipher very suitable for such real-time encryption applications as image transmission, web imaging, mobile and wireless multimedia communication. {\textcopyright} Springer-Verlag 2004.",

author = "Shiguo Lian and Guanrong Chen and Albert Cheung and Zhiquan Wang",

year = "2004",

doi = "10.1007/978-3-540-28648-6_100",

language = "English",

isbn = "978-3-540-22843-1",

series = "Lecture Notes in Computer Science",

publisher = "Springer ",

pages = "627--632",

editor = "Fu-Liang Yin and Jun Wang and Chengan Guo",

booktitle = "Advances in Neural Networks - ISNN 2004",

note = "International Symposium on Neural Networks (ISNN 2004), ISNN ; Conference date: 19-08-2004 Through 21-08-2004",

}

Lian, S, Chen, G, Cheung, A & Wang, Z 2004, A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images. in F-L Yin, J Wang & C Guo (eds), Advances in Neural Networks - ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II. Lecture Notes in Computer Science, vol. 3174, Springer , Berlin, Heidelberg, pp. 627-632, International Symposium on Neural Networks (ISNN 2004), Dalian, China, 19/08/04. https://doi.org/10.1007/978-3-540-28648-6_100

A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images. / Lian, Shiguo; Chen, Guanrong; Cheung, Albert et al.
Advances in Neural Networks - ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II. ed. / Fu-Liang Yin; Jun Wang; Chengan Guo. Berlin, Heidelberg: Springer , 2004. p. 627-632 (Lecture Notes in Computer Science; Vol. 3174).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images

AU - Lian, Shiguo

AU - Chen, Guanrong

AU - Cheung, Albert

AU - Wang, Zhiquan

PY - 2004

Y1 - 2004

N2 - In this paper, a cipher based-on chaotic neural network is proposed, which is used to encrypt JPEG2000 encoded images. During the image encoding process, some sensitive bitstreams are selected from different subbands, bit-planes or encoding-passes, and then are completely encrypted. The algorithm has high security with low cost; it can keep the original file format and compression ratio unchanged, and can support direct operations such as image browsing and bit-rate control. These properties make the cipher very suitable for such real-time encryption applications as image transmission, web imaging, mobile and wireless multimedia communication. © Springer-Verlag 2004.

AB - In this paper, a cipher based-on chaotic neural network is proposed, which is used to encrypt JPEG2000 encoded images. During the image encoding process, some sensitive bitstreams are selected from different subbands, bit-planes or encoding-passes, and then are completely encrypted. The algorithm has high security with low cost; it can keep the original file format and compression ratio unchanged, and can support direct operations such as image browsing and bit-rate control. These properties make the cipher very suitable for such real-time encryption applications as image transmission, web imaging, mobile and wireless multimedia communication. © Springer-Verlag 2004.

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U2 - 10.1007/978-3-540-28648-6_100

DO - 10.1007/978-3-540-28648-6_100

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-3-540-22843-1

T3 - Lecture Notes in Computer Science

SP - 627

EP - 632

BT - Advances in Neural Networks - ISNN 2004

A2 - Yin, Fu-Liang

A2 - Wang, Jun

A2 - Guo, Chengan

PB - Springer

CY - Berlin, Heidelberg

T2 - International Symposium on Neural Networks (ISNN 2004)

Y2 - 19 August 2004 through 21 August 2004

ER -

Lian S, Chen G, Cheung A, Wang Z. A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images. In Yin FL, Wang J, Guo C, editors, Advances in Neural Networks - ISNN 2004: International Symposium on Neural Networks, Dalian, China, August 19-21, 2004, Proceedings, Part II. Berlin, Heidelberg: Springer . 2004. p. 627-632. (Lecture Notes in Computer Science). doi: 10.1007/978-3-540-28648-6_100

A chaotic-neural-network-based encryption algorithm for JPEG2000 encoded images

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