An improved chaotic image encryption algorithm using Hadoop-based MapReduce framework for massive remote sensed images in parallel IoT applications

Al‐Khasawneh, Mahmoud Ahmad; Uddin, Irfan; Shah, Syed Atif Ali; Khasawneh, Ahmad M.; Abualigah, Laith; Mahmoud, Marwan

doi:10.1007/s10586-021-03466-2

Cited by 32 publications

(5 citation statements)

References 39 publications

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“…In contrast, other works utilize multiple kernels to generate the ciphered image, as discussed in Section 2.3. Another advantage of the single kernel encryption scheme is for bulk-images application [2], when the different available kernels can be used to encrypt different images, as there is no data dependency between different images.…”

Section: Performance Analysismentioning

confidence: 99%

A novel single kernel parallel image encryption scheme based on a chaotic map

Bezerra,

Camargo,

Soares

et al. 2024

Preprint

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The development of communication technologies has increased concerns about data security, increasing the prominence of cryptography. Images are one of the most widely shared data, and chaotic ciphers arouse significant interest from researchers, as traditional ciphers are optimized for text encryption. Chaotic encryption schemes perform well for low-quality images, however, they are not fast enough for real-time encryption of Full Ultra HD images. Hence, a novel cipher to be executed in GPU architectures is proposed, where the encryption procedure consists of a single kernel, making it different from previous chaotic works and also from the AES. This enables our work to achieve a throughput of 130.8 GB/s on a GeForce RTX3070 and 251.6 GB/s on a Tesla V100 GPU, an increase of 37\% compared to the AES, and 43 times higher than the previously high for chaotic ciphers. The cipher's security is also verified regarding multiple forms of attacks.

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Section: Performance Analysismentioning

confidence: 99%

A novel single kernel parallel image encryption scheme based on a chaotic map

Bezerra,

Camargo,

Soares

et al. 2024

Preprint

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“…There are various successful applications of MapReduce framework. As an example, the study in [32,33] used a Hadoopbased MapReduce framework for implementing an improved chaotic image encryption algorithm for massively remote sensed images in case of parallel IoT applications.…”

Section: Mapreducementioning

confidence: 99%

Analysis of the Path of Utilizing Big Data to Innovate Archive Management Mode to Enhance Service Capability

Luo

2022

Wireless Communications and Mobile Computing

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With the rapid development of modern science and technology, we are now in an era of big data and digitalization of network, and people’s normal work and life are also implicitly influenced. Archives, as the information of various work examinations, are the imprints of the past and the basis for guiding the future. Compared with the traditional management, the information-based archive management is more efficient and of better quality. The efficiency of all sectors of society in the background of the information age has taken a qualitative leap and improved. In order to develop the archive management business and make the archive management more efficient and secure, a set of scientific and efficient information-based archive management work mode should be worked out on the road of practice in the new era. With the arrival of the era of big data brings fundamental changes to data mining technology, which can analyze and process a large amount of data and dig intelligently, making it possible to dig deeper into the data. Therefore, it is necessary to actively explore archival data mining technology, so that data mining technology can be widely applied to archival management work, and the potential archival information can be excavated and delivered as much as possible to play its proper role and maximize the economic and social benefits of archival data. The article analyzes the characteristics of archive management in the context of big data, proposes a specific path to improve the quality of archive management work in view of the current problems in archive management work, and designs the archive management structure based on big data for improving the quality of archive management work.

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“…Among the available encoding schemes, symmetric encoding is the best cryptographic solution that provides heavy security for huge volumes of data [10]. In this creative ideology, chaos is considered as an efficient axis of latest cryptographic difficulties that prevail in conventional symmetric encoding systems like Advanced Encryption System (AES) [11,12]. Medical images usually contain confidential information about the patients and it is vulnerable to cyber-attacks when it is transmitted via public networks [13].…”

Section: Introductionmentioning

confidence: 99%

Improved Multileader Optimization with Shadow Encryption for Medical Images in IoT Environment

Duhayyim¹,

Maray²,

Qahmash³

et al. 2023

Computers, Materials &Amp; Continua

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Nowadays, security plays an important role in Internet of Things (IoT) environment especially in medical services' domains like disease prediction and medical data storage. In healthcare sector, huge volumes of data are generated on a daily basis, owing to the involvement of advanced health care devices. In general terms, health care images are highly sensitive to alterations due to which any modifications in its content can result in faulty diagnosis. At the same time, it is also significant to maintain the delicate contents of health care images during reconstruction stage. Therefore, an encryption system is required in order to raise the privacy and security of healthcare data by not leaking any sensitive data. The current study introduces Improved Multileader Optimization with Shadow Image Encryption for Medical Image Security (IMLOSIE-MIS) technique for IoT environment. The aim of the proposed IMLOSIE-MIS model is to accomplish security by generating shadows and encrypting them effectively. To do so, the presented IMLOSIE-MIS model initially generates a set of shadows for every input medical image. Besides, shadow image encryption process takes place with the help of Multileader Optimization (MLO) with Homomorphic Encryption (IMLO-HE) technique, where the optimal keys are generated with the help of MLO algorithm. On the receiver side, decryption process is initially carried out and shadow image reconstruction process is conducted. The experimentation analysis was carried out on medical images and the results inferred that the proposed IMLOSIE-MIS model is an excellent performer compared to other models.

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An improved chaotic image encryption algorithm using Hadoop-based MapReduce framework for massive remote sensed images in parallel IoT applications

Cited by 32 publications

References 39 publications

A novel single kernel parallel image encryption scheme based on a chaotic map

A novel single kernel parallel image encryption scheme based on a chaotic map

Analysis of the Path of Utilizing Big Data to Innovate Archive Management Mode to Enhance Service Capability

Improved Multileader Optimization with Shadow Encryption for Medical Images in IoT Environment

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