A Chaos-Based Authenticated Cipher with Associated Data

Teh, Je Sen; Samsudin, Azman

doi:10.1155/2017/9040518

Cited by 17 publications

(3 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The watermark embedding procedure requires an input cover color image and a watermark binary image to gain the watermarked image [23][24][25]. Fig.…”

Section: A the Procedures Of Watermark Embeddingmentioning

confidence: 99%

A Competent Hybrid Digital Image Watermarking Technique Based on Daubechies Wavelet and Block Bitmap Modification

Altameemi¹,

Al-Ani²,

Asmael³

et al. 2022

IJC

View full text Add to dashboard Cite

Over many years, in order to provide powerful techniques for protecting digital copyrights, digital watermarking techniques have been developed. This research focuses on proposing an efficient blind hybrid digital image watermarking technique based on the transformation of Daubechies wavelet (DW) and Block Bitmap modification (BBM). DW represents an effective multi-determination frequency domain for including the watermarks. The BBM is used to afford an enhanced capability of embedding and minimize distortion. Two layers of security have been added to the proposed technique for protecting digital images from theft by using the logistic chaotic mapping to select the position of the blocks for the embedding process and Lorenz chaotic mapping for scrambling the watermark image. In the experiments, high values of peak signal to noise ratio (PSNR) and structural similarity index (SSIM) are obtained, and all the obtained results illustrate that the presented technique is highly imperceptible, secure, and robust.

show abstract

“…The watermark embedding procedure requires an input cover color image and a watermark binary image to gain the watermarked image [23][24][25]. Fig.…”

Section: A the Procedures Of Watermark Embeddingmentioning

confidence: 99%

A Competent Hybrid Digital Image Watermarking Technique Based on Daubechies Wavelet and Block Bitmap Modification

Altameemi¹,

Al-Ani²,

Asmael³

et al. 2022

IJC

View full text Add to dashboard Cite

show abstract

“…A practical information measurement method was used to determine the maximum allowable parameter range, and a current mode skew tent circuit was designed to verify the method. Teh and Samsudin [64] proposed a new AEAD (authenticated encryption with associated data) scheme that was implemented with true random number generators based on the chaotic tent map. However, there were small periodic and unstable periodic points in the tent iteration sequence, it would degrade the random performance and reduce the security.…”

Section: Discrete Time Chaotic Oscillator Discrete Time Chaoticmentioning

confidence: 99%

A Survey on True Random Number Generators Based on Chaos

Tang

et al. 2019

Discrete Dynamics in Nature and Society

View full text Add to dashboard Cite

With the rapid development of communication technology and the popularization of network, information security has been highly valued by all walks of life. Random numbers are used in many cryptographic protocols, key management, identity authentication, image encryption, and so on. True random numbers (TRNs) have better randomness and unpredictability in encryption and key than pseudorandom numbers (PRNs). Chaos has good features of sensitive dependence on initial conditions, randomness, periodicity, and reproduction. These demands coincide with the rise of TRNs generating approaches in chaos field. This survey paper intends to provide a systematic review of true random number generators (TRNGs) based on chaos. Firstly, the two kinds of popular chaotic systems for generating TRNs based on chaos, including continuous time chaotic system and discrete time chaotic system are introduced. The main approaches and challenges are exposed to help researchers decide which are the ones that best suit their needs and goals. Then, existing methods are reviewed, highlighting their contributions and their significance in the field. We also devote a part of the paper to review TRNGs based on current-mode chaos for this problem. Finally, quantitative results are given for the described methods in which they were evaluated, following up with a discussion of the results. At last, we point out a set of promising future works and draw our own conclusions about the state of the art of TRNGs based on chaos.

show abstract

“…The main features of the chaotic systems, such as the sensitive dependence on initial conditions and control parameters, ergodicity, size of the parameter space, and mixing property, can be related to the confusion and diffusion conditions that must be applied to information to be protected by using cryptographic systems [22]. Therefore, many cryptographic systems and modules have been proposed based on chaotic systems [22][23][24][25][26][27][28][29][30][31][32][33]. In particular, chaotic maps have been successfully applied in the implementation of PRNGs [14,15,31,[34][35][36][37][38][39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Function Composition from Sine Function and Skew Tent Map and Its Application to Pseudorandom Number Generators

et al. 2021

View full text Add to dashboard Cite

In cryptography, the pseudorandom number sequences must have random appearance to be used in secure information systems. The skew tent map (STM) is an attractive map to produce pseudorandom sequences due to its easy implementation and the absence of stability islands when it is in chaotic behavior. Using the STM and sine function, we propose and analyze a function composition to propose a pseudorandom number generator (PRNG). In the analysis of the function composition, we use the bifurcation diagram and the Lyapunov exponent to perform a behavioral comparison against the STM. We show that the proposed function composition is more sensitive to initial conditions than the STM, and then it is a better option than the STM for cryptography applications. For the proposed function we determine and avoid the chaos annulling traps. The proposed PRNG can be configured to generate pseudorandom numbers of 8, 16 or 32 bits and it can be implemented on microcontrollers with different architectures. We evaluate the pseudorandomness of the proposed PRNG using the NIST SP 800-22 and TestU01 suites. Additionally, to evaluate its quality, we apply tests such as correlation coefficient, key sensitivity, statistical and entropy analysis, key space, linear complexity, and speed. Finally, we performed a comparison with similar PRNGs that produce pseudorandom sequences considering numbers of 8 and 32 bits. The results show that the proposed PRNG maintains its security regardless of the selected configuration. The proposed PRNG has five important features: easy implementation, configurable to produce number with 8, 16 or 32 bits, high processing speed, high linear complexity, and wide key space. These features are necessary for cryptographic systems.

show abstract

A Chaos-Based Authenticated Cipher with Associated Data

Cited by 17 publications

References 32 publications

A Competent Hybrid Digital Image Watermarking Technique Based on Daubechies Wavelet and Block Bitmap Modification

A Competent Hybrid Digital Image Watermarking Technique Based on Daubechies Wavelet and Block Bitmap Modification

A Survey on True Random Number Generators Based on Chaos

Function Composition from Sine Function and Skew Tent Map and Its Application to Pseudorandom Number Generators

Contact Info

Product

Resources

About