Image encryption and decryption using combined key sequence of Logistic map and Lozi map

Rohith, S; Sujatha, B.

doi:10.1109/iccsp.2015.7322662

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…Another algorithm explained by Rohith and Sujatha (2015) is almost similar to one which is explained earlier. In this work a single key sequence Ki is generated from two key sequences of (1) Logistic map K 1i and (2) Lozi map K 2i .…”

Section: Related Workmentioning

confidence: 84%

A chaotic colour image encryption scheme combining Walsh–Hadamard transform and Arnold–Tent maps

Sneha¹,

Sankar²,

Kumar³

2019

J Ambient Intell Human Comput

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The third party misuse and manipulation of digital images is a treat to security and privacy of human subjects. Image encryption in the internet of things era becomes more important with edge computing and growth in intelligent consumer electronic devices. In this paper, we report a chaos-based cryptographic algorithm using Walsh-Hadamard transform and chaotic maps for encrypting images. The images are processed channel-wise and two different chaotic maps called Arnold and Tent maps are used for enciphering. The experimental results show that the random chaotic ranges and complex behaviours of chaotic maps improved both the keyspace and security of image encryption-decryption system.

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Section: Related Workmentioning

confidence: 84%

A chaotic colour image encryption scheme combining Walsh–Hadamard transform and Arnold–Tent maps

Sneha¹,

Sankar²,

Kumar³

2019

J Ambient Intell Human Comput

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“…Chaotic maps are one example of the Stream cipher. Last two decades, manyresearchers suggested the idea of using the chaos-based cryptosystem for image encryption application [2]- [9]. The reason is, the chaotic map has the property of periodicity, sensitivity to initial conditions and parameters, high encryption rate, and simple in implementation, etc [2]- [10].…”

Section: Introductionmentioning

confidence: 99%

“…The chaotic key sequences play an important role to confuse the original to encrypted relationship imagesusing varying the position of the pixel and pixel values [4]. For encryption of the images, a wide variety of 1-Dimensional (1D), 2-Dimensional(2D) chaotic maps are available [2] [4] [5] [8] [9]. Out of these schemes, many researchers have proven using a combination of the chaotic maps provide better performance than or single map [4]- [9].…”

Section: Introductionmentioning

confidence: 99%

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Image Encryption and Decryption Using Key Sequence of Triple Logistic Map for Medical Applications

Rohith¹,

Jahnavi²,

Bhuvaneshwari³

et al. 2020

2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC)

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In the present world scenario, security of medical images from unauthorized access is one of the key challenges. This paper provides one of the solutions to solve the security of medical images. The proposed scheme uses a combination of key sequences of Triple Logistic Map (TLM) for the encryption process. To generate the key sequence Logistic function is used with initial value X 0 and r. The three key sequences{X 1i } , {X 2i } and {X 3i } with different initial value are used (X 10 ≠ X 20 ≠ X 30) with r=3.99. The key sequences {X 1i }, {X 2i } and {X 3i } are converted into discrete key sequence {K 1i } , {K 2i } and {K 3i } in the range of 0 to 255. The combined key sequence {K i } is obtained using bit by bit logical XOR operation between {K 1i }, {K 2i }, and {K 3i }. The resultant Key sequence {K i } is used forthe encryption process of the medical image. To evaluate the performance of the proposed scheme different grayscale images are chosen. The proposed TLM based image encryption scheme is compared with the encryption scheme using (i) Logistic Map (LM) alone ii) Double Logistic Map (DLM). To evaluate the proposed scheme parameters such as (i) Visual analysis (ii) Histogram plot (iii) Mean Square Error (MSE) iv) Correlation (v) Entropyis used. The simulation result shows that the proposed TLM based scheme provides better performance and immune to statistical attacks.

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“…Binary compressed watermark is encrypted using combined binary key sequence {K i }. The binary key sequence {K i } is obtained by key sequence of logistic map and Lozi map [14]. So obtained watermark is encoded using (n, 1) repetition code.…”

Section: Introductionmentioning

confidence: 99%

A Novel Compressed Encrypted and Encoded Watermark Embedding Scheme for Digital Images

Rohith¹,

Sujatha²

2018

IJET

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In this research work a novel idea of compressed, encrypted and encoded watermark embedding scheme for digital images is proposed. Initially watermark is compressed using Huffman encoder. Compressed watermark is encrypted using combined binary key sequence {Ki} derived from sequence of logistic map and Lozi map. The compressed and encrypted binary watermark is encoded using (n,1) repetition code. This compressed, encrypted and encoded binary watermark is embedded in alternate locations of cover image pixels using of Least Significant Bit (LSB) and Second Least Significant Bit (SLSB). To study the watermarked image quality, parameters such as Signal to Noise Ratio (SNR) and Mean Square Error (MSE) are used. Also performance of the proposed system is compared with uncompressed, encrypted, encoded watermark embedding scheme. There is a significant improvement in MSE, SNR of watermarked image, when compressed watermark embedding scheme is compared to uncompressed watermark embedding scheme.

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Image encryption and decryption using combined key sequence of Logistic map and Lozi map

Cited by 5 publications

References 7 publications

A chaotic colour image encryption scheme combining Walsh–Hadamard transform and Arnold–Tent maps

A chaotic colour image encryption scheme combining Walsh–Hadamard transform and Arnold–Tent maps

Image Encryption and Decryption Using Key Sequence of Triple Logistic Map for Medical Applications

A Novel Compressed Encrypted and Encoded Watermark Embedding Scheme for Digital Images

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