New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key

Setyaningsih, Emy; Wardoyo, Retantyo; Sari, Anny Kartika

New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key

International Journal on Smart Sensing and Intelligent Systems

Volume 11 (2018): Issue 1 (January 2018)

By:

Emy Setyaningsih, Retantyo Wardoyo and Anny Kartika Sari

Open Access

|Mar 2018

Figures & Tables

The proposed compression–encryption model.

DWT decomposition 2D (a) one level (b) two levels.

Formation of matrix B from the result of LL sub-band element scrambling using ACM method.

Formation of symmetric keys K1, K2, K3, and K4.

(a) Initial cipher block of size 5×5, (b) session key KG3 which is formed using the proposed algorithm.

Example of key session KG4 which is randomly generated from the value of symmetric key K4 using the proposed algorithm.

Detailed proposed image compression–encryption model on the sender side.

Illustration of quantization result in binary form The bits are then grouped into 8 bit sized blocks, which produces 71 179 1 (in decimal), as shown in Figure 10.

The process of resizing the encrypted LL, LH, HL, and HH sub-bands data from the column vector to a matrix of size m × n 4) Divide the matrix produced in Step 4 into b × k blocks to do the process of block permutation cipher using session key KG3. The goal is to randomize the element.

Detailed propoed image decryption–reconstruction model on the receiver side.

Symmetric key values of Lena images with different intensities. (a) Without using the proposed algorithm and (b) using the proposed algorithm.

Symmetric keys generated in 30 experiments using Artichare, Pool, Lena, and Boat images.

Result of visual analysis to cipher image.

Average value of (a) NPCR, (b) UACI using the four testing images.

The average value of entropy from four testing images.

Average value of (a) PSNR, (b) compression ratio of the four testing images.

Result of Run-Test test to evaluate the randomness of the symmetric keys_

Test Image Data	Symmetric Key	P-Value	Conclusion	Test Image Data	Symmetric Key	P-Value	Conclusion
Artichare	K1	0.930	Random	Lena	K1	0.168	Random
	K2	0.154	Random		K2	1.000	Random
	K3	0.930	Random		K3	0.670	Random
	K4	1.000	Random		K4	0.624	Random
Pool	K1	0.145	Random	Boat	K1	0.727	Random
	K2	1.000	Random		K2	0.593	Random
	K3	0.565	Random		K3	0.353	Random
	K4	0.234	Random		K4	0.098	Random

Comparison of PSNR and CR values between images produced using the proposed and image produced by Hamdi et al_ (2017), and Kumar and Vaish (2017)_

			PSNR			CR
Citra	Size	Classification	Proposed	Ref (Hamdi et al., 2017)	Ref (Kumar and Vaish, 2017)	Proposed	Ref (Kumar and Vaish, 2017)
peppers	512×512	High contrast	34.3206		32.6900	37.3047	30.0400
boat	512×512	High contrast	34.3238		31.0300	37.3047	30.3200
baboon	512×512	Moderate contrast	35.0083		24.8000	37.3047	31.7100
Lena	512×512	Moderate contrast	35.7503		33.2700	37.3047	29.9500
barbara	512×512	Moderate contrast	35.0709		26.2600	37.3047	31.3400
Average			35.7752		29.6100	37.3047	30.6720
house	512×512	Moderate contrast	37.6866	39.674
airplane	256×256	Bright image	36.3147	38.013
Average			37.0007	38.8435

Comparison of NPCR and UACI values between the proposed method and the method in Belazi et al_ (2017), Hamdi et al_ (2017), and Zhang and Tong (2017)_

			NPCR				UACI
Citra	Size	Classification	Proposed	Ref (Hamdi et al., 2017)	Ref (Belazi et al., 2017)	Ref (Zhang and Tong, 2017)	Proposed	Ref (Hamdi et al., 2017)	Ref (Belazi et al., 2017)	Ref (Zhang and Tong, 2017)
peppers	512×512	High contrast	99.7391	99.9676	-	99.6100	34.3270	33.3208	-	33.4700
Lena	512×512	Moderate contrast	99.7482	99.9150	-	99.5900	34.7650	33.5107	-	33.4200
barbara	512×512	Moderate contrast	99.7604	99.3656	-	99.5700	32.6374	33.4989	-	33.2900
Average			99.7492	99.7494	-	99.5900	33.9098	33.4435	-	33.3933
Lena	256×256	Moderate contrast	99.7360	99.8817	99.5895	-	34.7258	33.6860	33.4646	-
house	256×256	Moderate contrast	99.7742	98.9948	99.6353	-	35.5474	33.9622	33.4534	-
airplane	256×256	Bright image	99.7833	99.6680	99.5989	-	46.2548	33.2705	33.4396	-
Average			99.7645	99.5148	99.6079	-	38.8427	33.6396	33.4525	-

Comparison of entropy value between our proposed model with Belazi et al_ (2017) and Zhang and Tong (2017)_

			Entropy
Citra	Size	Classification	Proposed	Ref (Belazi et al., 2017)	Ref (Zhang and Tong, 2017)
Airplane	512×512	Bright image	7.9988	7.9024	7.9931
house	512×512	Moderate contrast	7.9990	7.9027	7.9931
Lena	512×512	Moderate contrast	7.9989	7.9030	7.9929
barbara	512×512	Moderate contrast	7.9989	7.9025	7.9917
Average			7.9989	7.90265	7.9927

The average of PSNR, UACI, entropy, CR, PSNR values and encryption and decryption process times using 30 different keys_

File	Classification	NPCR	UACI	Entropy	CR	PSNR	T_encryption (seconds)	T_decryption (seconds)
Artichare	Bright image	99.7554	59.9266	7.9988	37.2500	36.0186	12.8361	18.1816
Pool	Dark image	99.7546	30.7441	7.9985	37.0757	36.4626	11.2455	14.7797
Lena	Moderate contrast image	99.7535	34.7743	7.9989	37.3047	35.7978	14.8640	19.8693
Boat	High contrast image	99.7548	34.6731	7.9989	37.3047	34.3238	14.9430	19.8642

DOI: https://doi.org/10.21307/ijssis-2018-004 | Journal eISSN: 1178-5608

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Language: English

Page range: 1 - 19

Published on: Mar 28, 2018

Published by: Professor Subhas Chandra Mukhopadhyay

In partnership with: Paradigm Publishing Services

Publication frequency: 1 times per year

Related subjects:

Engineering,

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© 2018 Emy Setyaningsih, Retantyo Wardoyo, Anny Kartika Sari, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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New Compression–Encryption Algorithm Using Chaos-Based Dynamic Session Key

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Result of Run-Test test to evaluate the randomness of the symmetric keys_

Comparison of PSNR and CR values between images produced using the proposed and image produced by Hamdi et al_ (2017), and Kumar and Vaish (2017)_

Comparison of NPCR and UACI values between the proposed method and the method in Belazi et al_ (2017), Hamdi et al_ (2017), and Zhang and Tong (2017)_

Comparison of entropy value between our proposed model with Belazi et al_ (2017) and Zhang and Tong (2017)_

The average of PSNR, UACI, entropy, CR, PSNR values and encryption and decryption process times using 30 different keys_

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