An applied imagery encryption algorithm based on shuffling and baker's map

Alireza Jolfaei; Abdolrasoul Mirghadri

An applied imagery encryption algorithm based on shuffling and baker's map

Alireza Jolfaei, Abdolrasoul Mirghadri

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

This paper suggests a new image encryption scheme based on combination of pixel shuffling and AES. Chaotic baker's map is used for shuffling and improving AES efficiency through S-box design. Chaos creates diffusion and confusion expansion in the image. Due to sensitivity to initial conditions, chaotic baker's map has a good potential for designing dynamic permutation map and S-box. In order to evaluate performance, the proposed algorithm was measured through a series of tests. The scheme shows a good resistance against statistical and differential analysis. Experimental results show that the new cipher has satisfactory security which makes it a potential candidate for encryption of multimedia data.

Original language	English
Title of host publication	International Conference on Artificial Intelligence and Pattern Recognition 2010
Subtitle of host publication	(AIPR-10)
Editors	Zoran Majkic, Dan Tamir, Guoyin Wang
Publisher	Curran Associates
Pages	279-285
Number of pages	7
ISBN (Print)	9781617820670
Publication status	Published - 2010
Externally published	Yes
Event	International Conference on Artificial Intelligence and Pattern Recognition 2010 (AIPR-10) - Orlando, United States Duration: 12 Jul 2010 → 14 Jul 2010

Conference

Conference	International Conference on Artificial Intelligence and Pattern Recognition 2010 (AIPR-10)
Country/Territory	United States
City	Orlando
Period	12/07/10 → 14/07/10

Keywords

component
shuffling
AES
baker's map
S-box
statistical analysis
differential analysis

Cite this

@inproceedings{659d6b973ed54285b2f9d5845b9c4b1f,

title = "An applied imagery encryption algorithm based on shuffling and baker's map",

abstract = "This paper suggests a new image encryption scheme based on combination of pixel shuffling and AES. Chaotic baker's map is used for shuffling and improving AES efficiency through S-box design. Chaos creates diffusion and confusion expansion in the image. Due to sensitivity to initial conditions, chaotic baker's map has a good potential for designing dynamic permutation map and S-box. In order to evaluate performance, the proposed algorithm was measured through a series of tests. The scheme shows a good resistance against statistical and differential analysis. Experimental results show that the new cipher has satisfactory security which makes it a potential candidate for encryption of multimedia data.",

keywords = "component, shuffling, AES, baker's map, S-box, statistical analysis, differential analysis",

author = "Alireza Jolfaei and Abdolrasoul Mirghadri",

year = "2010",

language = "English",

isbn = "9781617820670",

pages = "279--285",

editor = "Zoran Majkic and Dan Tamir and Guoyin Wang",

booktitle = "International Conference on Artificial Intelligence and Pattern Recognition 2010",

publisher = "Curran Associates",

note = "International Conference on Artificial Intelligence and Pattern Recognition 2010 (AIPR-10) ; Conference date: 12-07-2010 Through 14-07-2010",

}

Jolfaei, A & Mirghadri, A 2010, An applied imagery encryption algorithm based on shuffling and baker's map. in Z Majkic, D Tamir & G Wang (eds), International Conference on Artificial Intelligence and Pattern Recognition 2010: (AIPR-10). Curran Associates, pp. 279-285, International Conference on Artificial Intelligence and Pattern Recognition 2010 (AIPR-10), Orlando, Florida, United States, 12/07/10.

An applied imagery encryption algorithm based on shuffling and baker's map. / Jolfaei, Alireza; Mirghadri, Abdolrasoul.
International Conference on Artificial Intelligence and Pattern Recognition 2010: (AIPR-10). ed. / Zoran Majkic; Dan Tamir; Guoyin Wang. Curran Associates, 2010. p. 279-285.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

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AU - Jolfaei, Alireza

AU - Mirghadri, Abdolrasoul

PY - 2010

Y1 - 2010

N2 - This paper suggests a new image encryption scheme based on combination of pixel shuffling and AES. Chaotic baker's map is used for shuffling and improving AES efficiency through S-box design. Chaos creates diffusion and confusion expansion in the image. Due to sensitivity to initial conditions, chaotic baker's map has a good potential for designing dynamic permutation map and S-box. In order to evaluate performance, the proposed algorithm was measured through a series of tests. The scheme shows a good resistance against statistical and differential analysis. Experimental results show that the new cipher has satisfactory security which makes it a potential candidate for encryption of multimedia data.

AB - This paper suggests a new image encryption scheme based on combination of pixel shuffling and AES. Chaotic baker's map is used for shuffling and improving AES efficiency through S-box design. Chaos creates diffusion and confusion expansion in the image. Due to sensitivity to initial conditions, chaotic baker's map has a good potential for designing dynamic permutation map and S-box. In order to evaluate performance, the proposed algorithm was measured through a series of tests. The scheme shows a good resistance against statistical and differential analysis. Experimental results show that the new cipher has satisfactory security which makes it a potential candidate for encryption of multimedia data.

KW - component

KW - shuffling

KW - AES

KW - baker's map

KW - S-box

KW - statistical analysis

KW - differential analysis

UR - https://www.scopus.com/pages/publications/78650278138

M3 - Conference proceeding contribution

SN - 9781617820670

SP - 279

EP - 285

BT - International Conference on Artificial Intelligence and Pattern Recognition 2010

A2 - Majkic, Zoran

A2 - Tamir, Dan

A2 - Wang, Guoyin

PB - Curran Associates

T2 - International Conference on Artificial Intelligence and Pattern Recognition 2010 (AIPR-10)

Y2 - 12 July 2010 through 14 July 2010

ER -

An applied imagery encryption algorithm based on shuffling and baker's map

Abstract

Conference

Keywords

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Cite this