39 research outputs found
Symmetry in Chaotic Systems and Circuits
Symmetry can play an important role in the field of nonlinear systems and especially in the design of nonlinear circuits that produce chaos. Therefore, this Special Issue, titled “Symmetry in Chaotic Systems and Circuits”, presents the latest scientific advances in nonlinear chaotic systems and circuits that introduce various kinds of symmetries. Applications of chaotic systems and circuits with symmetries, or with a deliberate lack of symmetry, are also presented in this Special Issue. The volume contains 14 published papers from authors around the world. This reflects the high impact of this Special Issue
Research on digital image watermark encryption based on hyperchaos
The digital watermarking technique embeds meaningful information into one or more watermark images hidden in one image, in which it is known as a secret carrier. It is difficult for a hacker to extract or remove any hidden watermark from an image, and especially to crack so called digital watermark. The combination of digital watermarking technique and traditional image encryption technique is able to greatly improve anti-hacking capability, which suggests it is a good method for keeping the integrity of the original image. The research works contained in this thesis include: (1)A literature review the hyperchaotic watermarking technique is relatively more advantageous, and becomes the main subject in this programme. (2)The theoretical foundation of watermarking technologies, including the human visual system (HVS), the colour space transform, discrete wavelet transform (DWT), the main watermark embedding algorithms, and the mainstream methods for improving watermark robustness and for evaluating watermark embedding performance. (3) The devised hyperchaotic scrambling technique it has been applied to colour image watermark that helps to improve the image encryption and anti-cracking capabilities. The experiments in this research prove the robustness and some other advantages of the invented technique. This thesis focuses on combining the chaotic scrambling and wavelet watermark embedding to achieve a hyperchaotic digital watermark to encrypt digital products, with the human visual system (HVS) and other factors taken into account. This research is of significant importance and has industrial application value
Construction and Optimization of TRNG Based Substitution Boxes for Block Encryption Algorithms
Internet of Things is an ecosystem of interconnected devices that
are accessible through the internet. The recent research focuses on adding
more smartness and intelligence to these edge devices. This makes them
susceptible to various kinds of security threats. These edge devices rely on
cryptographic techniques to encrypt the pre-processed data collected from
the sensors deployed in the field. In this regard, block cipher has been one
of the most reliable options through which data security is accomplished. The
strength of block encryption algorithms against different attacks is dependent
on its nonlinear primitive which is called Substitution Boxes. For the design of
S-boxes mainly algebraic and chaos-based techniques are used but researchers
also found various weaknesses in these techniques. On the other side, literature
endorse the true random numbers for information security due to the reason
that, true random numbers are purely non-deterministic. In this paper firstly a
natural dynamical phenomenon is utilized for the generation of true random
numbers based S-boxes. Secondly, a systematic literature review was conducted to know which metaheuristic optimization technique is highly adopted
in the current decade for the optimization of S-boxes. Based on the outcome
of Systematic Literature Review (SLR), genetic algorithm is chosen for the
optimization of s-boxes. The results of our method validate that the proposed
dynamic S-boxes are effective for the block ciphers. Moreover, our results
showed that the proposed substitution boxes achieve better cryptographic
strength as compared with state-of-the-art techniques
Dynamic S-BOX using Chaotic Map for VPN Data Security
A dynamic SBox using a chaotic map is a cryptography technique that changes
the SBox during encryption based on iterations of a chaotic map, adding an
extra layer of confusion and security to symmetric encryption algorithms like
AES. The chaotic map introduces unpredictability, non-linearity, and key
dependency, enhancing the overall security of the encryption process. The
existing work on dynamic SBox using chaotic maps lacks standardized guidelines
and extensive security analysis, leaving potential vulnerabilities and
performance concerns unaddressed. Key management and the sensitivity of chaotic
maps to initial conditions are challenges that need careful consideration. The
main objective of using a dynamic SBox with a chaotic map in cryptography
systems is to enhance the security and robustness of symmetric encryption
algorithms. The method of dynamic SBox using a chaotic map involves
initializing the SBox, selecting a chaotic map, iterating the map to generate
chaotic values, and updating the SBox based on these values during the
encryption process to enhance security and resist cryptanalytic attacks. This
article proposes a novel chaotic map that can be utilized to create a fresh,
lively SBox. The performance assessment of the suggested S resilience Box
against various attacks involves metrics such as nonlinearity (NL), strict
avalanche criterion (SAC), bit independence criterion (BIC), linear
approximation probability (LP), and differential approximation probability
(DP). These metrics help gauge the Box ability to handle and respond to
different attack scenarios. Assess the cryptography strength of the proposed
S-Box for usage in practical security applications, it is compared to other
recently developed SBoxes. The comparative research shows that the suggested
SBox has the potential to be an important advancement in the field of data
security.Comment: 11 Page
Entropy in Image Analysis III
Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future