Hybrid image encryption using multi-chaos-system

Nien, Hsiau Hsian; Huang, Wei-Tzer; Hung, Chih-Yu; Chen, S. C.; Wu, Shoujun; Huang, Chih Cheng; Hsu, Y. H.

doi:10.1109/icics.2009.5397632

Cited by 24 publications

(15 citation statements)

References 11 publications

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“…The disadvantage of merging the above schemes will causes to increase the key space of digital images and suffers from resisting the extensive attack when correlation factor is accessed to 0.0031. R. Munir [12] presents a method that uses the Arnold Cat map transformation on the low frequency sub-band (LL) of the DCT to encrypt digital image. Their essential notion for choosing LL of the DCT transformation of digital image is certified to the fact that the human visual system (HVS) is more figured to important data (such as object, shape) at the low frequencies area.…”

Section: A Image Encryptionmentioning

confidence: 99%

Cloud authentication based on encryption of digital image using edge detection

Yassin

Hussain

Mutlaq

2015

2015 the International Symposium on Artificial Intelligence and Signal Processing (AISP)

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The security of cloud computing is the most important concerns that may delay its well-known adoption. Authentication is the central part of cloud security, targeting to gain valid users for accessing to stored data in cloud computing. There are several authentication schemes that based on username/password, but they are considered weak methods of cloud authentication. In the other side, image's digitization becomes highly vulnerable to malicious attacks over cloud computing. Our proposed scheme focuses on two-factor authentication that used image partial encryption to overcome above aforementioned issues and drawbacks of authentication schemes. Additionally, we use a fast partial image encryption scheme using Canny's edge detection with symmetric encryption is done as a second factor. In this scheme, the edge pixels of image are encrypted using the stream cipher as it holds most of the image's data and then we applied this way to authenticate valid users. The results of security analysis and experimental results view that our work supports a good balance between security and performance for image encryption in cloud computing environment.

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Section: A Image Encryptionmentioning

confidence: 99%

Cloud authentication based on encryption of digital image using edge detection

Yassin

Hussain

Mutlaq

2015

2015 the International Symposium on Artificial Intelligence and Signal Processing (AISP)

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“…Since then, many image encryption algorithms have been developed based on chaotic systems [2]- [4] . Since the last few years, fractional order extensions of the chaotic systems have become quite popular choice over the integer order versions because they provide much larger key-spaces [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Colour image encryption based on multiple fractional order chaotic systems

Dasgupta

Paral

Bhattacharya

2014

Proceedings of the 2014 International Conference on Control, Instrumentation, Energy and Communication (CIEC)

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This paper demonstrates a colour image encryption algorithm that incorporates multiple fractional order chaotic systems. Here, the fractional order extensions of four well known chaotic systems are tactfully combined together to generate the cyphering key. The encrypted image shows uniform histogram, zero autocorrelation and very high entropy for all the three colour-channels. Moreover, the algorithm possesses an extremely huge key-space. Thus, the algorithm becomes invulnerable against brute-force attacks. However, due to the fact that the fractional order derivatives are not 'local operations' like their integer order counterparts, solving fractional order differential equations become a difficult and time consuming task for computers. To overcome this, some efficient computing techniques have been adopted to run the encryption-decryption process reasonably fast.

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“…al. [4] proposed an encryption method that used multi-chaotic systems to increase the key space and to make system's breaking very difficult. Zhu.…”

Section: Introductionmentioning

confidence: 99%

New Chaotic Information Security Algorithms

Al-Najjar¹,

Al-Rousan²

2013

IJCA

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In this paper, new information security algorithms using a Rossler chaotic function are suggested, which contain image encryption, data encryption and data hiding. In designing the image encryption algorithm, a chaotic block was used to change the pixels value using the target pixels in each block. The experiments show that the system performance is improved and the cipher image characteristics are enhanced. Where, in the data encryption algorithm N x N blocks were used to encrypt the text files, so each character in the file will represent one generated block. The experiments show that the system is efficient and fast in encrypting the large text files but the size of the encrypted file will be increased dramatically since the characters will be converted to nine bits. On another hand, the data hiding algorithm is designed using chaotic block which improves the PSNR of stegoimages. However, the suggested algorithms show that using the chaotic functions and N x N blocks will enhance and improve the information security. . General Terms

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Hybrid image encryption using multi-chaos-system

Cited by 24 publications

References 11 publications

Cloud authentication based on encryption of digital image using edge detection

Cloud authentication based on encryption of digital image using edge detection

Colour image encryption based on multiple fractional order chaotic systems

New Chaotic Information Security Algorithms

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