Image encryption using anti-synchronisation and Bogdanov transformation map

Al-Hazaimeh, Obaida M.; Al–Jamal, Mohammad F.; Alomari, A. K.; Bawaneh, Mohammed J.; Tahat, Nedal

doi:10.1504/ijcsm.2022.122144

Cited by 13 publications

(9 citation statements)

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“…Encryption techniques are introduced to change the data before transfer in order to preserve the privacy of parties participating in communication [109] or protect the confidentiality of the data from adversaries. In many cases, the transmitted measurement data has the form of a 2D graphic, which is compressed using image codecs [110]. In such cases, it is crucial to compress data with preservation of the quality suitable for further data processing and maintain security properties of encryption [111].…”

Section: Secure File Transfermentioning

confidence: 99%

Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review

Prokop,

Bień,

Barczentewicz

2023

Energies

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Significant amounts of data need to be transferred in order to optimize the operation of power grids. The development of advanced metering and control infrastructure ensures a growth in the amount of data transferred within smart grids. Data compression is a strategy to reduce the burden. This paper presents current challenges in the field of time-series data compression. This paper’s novel contribution is the division of data in smart grids to real-time data used for control purposes and big data sets used for non-time-critical analysis of the system. Both of these two applications have different requirements for effective compression. Currently used algorithms are listed and described with their advantages and drawbacks for both of these applications. Details needed for the implementation of an algorithm were also provided. Comprehensive analysis and comparison are intended to facilitate the design of a data compression method tailored for a particular application. An important contribution is the description of the influence of data compression methods on cybersecurity, which is one of the major concerns in modern power grids. Future work includes the development of adaptive compression methods based on artificial intelligence, especially machine learning and quantum computing. This review will offer a solid foundation for the research and design of data compression methods.

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Section: Secure File Transfermentioning

confidence: 99%

Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review

Prokop,

Bień,

Barczentewicz

2023

Energies

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“…This hinders the data sharing among the enterprises participating in FL, and cannot fully tap the potential value of the data, resulting in huge economic losses. It is necessary to design more superior encryption method and attack detection method to enhance the security of FL and defend more kinds of attack dangers [157]. To ensure data security and improve encryption efficiency, some hardware-based encryption techniques should also be focused on.…”

Section: Federated Leaning In Intrusion Detectionmentioning

confidence: 99%

A survey on federated learning: challenges and applications

Zhang

Lan

et al. 2022

Int. J. Mach. Learn. & Cyber.

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y impact on human life [1][2][3]. As great progress has been made in AI technology in recent years, various application fields have stepped into intelligence [4,5]. On the road of AI development, models, computing power, chip performance, and other technical issues have been the focus of academic research, so that AI technology can continue to evolve. For machines to truly approach the level of human thought, they need to be trained with vast amounts of real data [6,7]. However, cloud computing power, data security, data silos and other risks will inevitably become constraints for AI to win user trust, collect private data, and achieve largescale implementation [8]. Therefore, it is an urgent need for a practical and effective technique to alleviate the above problems and make the AI full of vitality again. Under this background, the concept of "federated learning (FL) " came into being.The notion of FL is first proposed by Google in 2016, mainly to make android mobile phone users update models locally without revealing private personal data [9]. After then, Google implemented an application-oriented FL system. The designed FL system, which focused on running federated average (FedAvg) algorithms on mobile phones, can perform federated analytics and be applied to monitor statistics for large-scale cluster equipment without recording raw device data to the cloud server. FL is one of the most Zhihua Cui

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“…Chaos-based cryptographic algorithms are an obvious choice for safe communication and cryptography because of the tight connection between the two fields [10]- [12]. Tight connection between cryptographic algorithms and chaotic maps can be seen in their sensitivity to changes in initial conditions and control parameters, pseudorandom behavior, and unstable periodic orbits with long periods [6], [13], [14]. In the multimedia data such as image can be encrypted using chaos because some dynamic systems are capable of producing random sequences of numbers that are difficult to predict.…”

Section: Chaos Theory For Cryptographymentioning

confidence: 99%

“…The diffusion stage follows the confusion stage, and the cipher image is created by XORing each pixel of the confused image with the diffused image. Al-hazaimeh et al [14] based on Chen system and Bogdanov map anti-synchronization, a new image encryption technique is proposed. In this paper, to demonstrate the new algorithm's performance and robustness against various cryptanalytic attacks, some of these analyses are presented in this paper.…”

Section: Chaos-based Encryption Algorithmsmentioning

confidence: 99%

Chaotic based multimedia encryption: a survey for network and internet security

et al. 2022

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Nowadays the security of multimedia data storage and transfer is becoming a major concern. The traditional encryption methods such as DES, AES, 3-DES, and RSA cannot be utilized for multimedia data encryption since multimedia data include an enormous quantity of redundant data, a very large size, and a high correlation of data elements. Chaos-based approaches have the necessary characteristics for dynamic multimedia data encryption. In the context of dynamical systems, chaos is extremely dependent on the initial conditions, non-convergence, non-periodicity, and exhibits a semblance of randomness. Randomness created from completely deterministic systems is a particularly appealing quality in the field of cryptography and information security. Since its inception in the early '90s, chaotic cryptography has seen a number of noteworthy changes. Throughout these years, several scientific breakthroughs have been made. This paper will give an overview of chaos-based cryptography and its most recent advances.

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Image encryption using anti-synchronisation and Bogdanov transformation map

Cited by 13 publications

References 0 publications

Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review

Compression Techniques for Real-Time Control and Non-Time-Critical Big Data in Smart Grids: A Review

A survey on federated learning: challenges and applications

Chaotic based multimedia encryption: a survey for network and internet security

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