Image Encryption Technology Based on Fractional Two-Dimensional Triangle Function Combination Discrete Chaotic Map Coupled with Menezes-Vanstone Elliptic Curve Cryptosystem by Zeyu Liu, Tiecheng Xia, Jinbo Wang

“…Finally, the image encryption algorithm is analysed in four main aspects that indicate the proposed algorithm is better than others.…”
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A Wide-Range Adjustable Conservative Memristive Hyperchaotic System with Transient Quasi-Periodic Characteristics and Encryption Application by Fei Yu, Bohong Tan, Ting He, Shaoqi He, Yuanyuan Huang, Shuo Cai, Hairong Lin

“…Through security analysis, the feasibility and security of the image-encryption algorithm were confirmed.…”
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Triple-layered security system: reliable and secured image communications over 5G and beyond networks by Tarek Srour, Mohsen A. M. El-Bendary, Mostafa Eltokhy, Atef E. Abouelazm

“…The Triple-level security system consists of three combined/ merged security levels, the classified images are encrypted by two chaos-based tools, the encrypted images are embedded into another fake image or audio file using Singular Value Decomposition-Discrete Wavelet Transform (SVD-DWT) based techniques. …”
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The Itinerary of the N-Type Map and Its Application by Ruisong Ye

“…As a practical application in the field of image security, two image scrambling encryption algorithms are proposed and implemented.…”
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Conic curve encryption and digital signature based on complex number theory for cybersecurity applications by Ahmed Kamal, H. A. El-Kamchochi, Adel El-Fahar, Esam A. A. Hagras

“…Abstract Secure image transmission requires robust algorithms to ensure authentication, integrity, non-repudiation, and confidentiality. …”
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Honey Encryption Security Techniques: A Review Paper by Ammar Gharbi, Ahmed Nori

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A secure and efficient encryption system based on adaptive and machine learning for securing data in fog computing by Priyanka Rajan Kumar, Sonia Goel

“…The system employs the K-Nearest Neighbors (KNN) classification algorithm to categorize data into sensitive and normal types. …”
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Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation by S. Subathra, V. Thanikaiselvan

“…Abstract Medical image encryption is important for maintaining the confidentiality of sensitive medical data and protecting patient privacy. …”
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A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference by Sadhana Selvakumar, B. Senthilkumar

“…Abstract Medical image analysis using deep learning algorithms has become a basis of modern healthcare, enabling early detection, diagnosis, treatment planning, and disease monitoring. …”
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Fragile watermarking technique for detecting image by Yu-hong CHANG, Hui-fen HUANG, Zhi-hong WANG

“…Aiming at the problem of image tampering and forensic localization,a fragile watermarking algorithm based on chaos sequence and image QR decomposition was proposed to determine the image tampering.The algorithm chooses QR decomposition to decompose the image,embeds the watermark after the image is decomposed,and encrypts the watermark by chaotic system to enhance the security of the watermark.Experimental results show that the algorithm not only improves the security of the location watermarking algorithm,but also can estimate the tampering strength of the tampered area.…”
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A lightweight encryption algorithm for resource-constrained IoT devices using quantum and chaotic techniques with metaheuristic optimization by Amer Aljaedi, Adel R. Alharbi, Abdullah Aljuhni, Moahd K. Alghuson, Shafi Alassmi, Arslan Shafique

“…This research introduces a novel lightweight encryption algorithm optimized with metaheuristic techniques, incorporating quantum encryption, confusion and diffusion operations, discrete wavelet transform (DWT), and multiple chaotic maps. …”
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Chaotic Image Steganography using DCT and DWT by Nadia Mohammed

“…The researchers was interest in the issue of security from long time ago  even  arrived to the current age (the digital age), and because of the importance of this topic and the challenges in it, so this work which included  study and application of new algorithm is proposed to achieve a high level of  security by encrypting the secret message  (image) using the Logistic  Chaotic  function  after the implementation of  Discrete Wavelet Transform (DWT). …”
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Image and audio steganography based on indirect LSB by Zainab Namh Sultani, Ban Nadeem Dhannoon

“…In this paper, two steganography schemas are designed in which the cover media are image and audio, while the secret message is a text file. …”
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Encrypted traffic identification method based on deep residual capsule network with attention mechanism by Guozhen SHI, Kunyang LI, Yao LIU, Yongjian YANG

“…With the improvement of users’ security awareness and the development of encryption technology, encrypted traffic has become an important part of network traffic, and identifying encrypted traffic has become an important part of network traffic supervision.The encrypted traffic identification method based on the traditional deep learning model has problems such as poor effect and long model training time.To address these problems, the encrypted traffic identification method based on a deep residual capsule network (DRCN) was proposed.However, the original capsule network was stacked in the form of full connection, which lead to a small model coupling coefficient and it was impossible to build a deep network model.The DRCN model adopted the dynamic routing algorithm based on the three-dimensional convolutional algorithm (3DCNN) instead of the fully-connected dynamic routing algorithm, to reduce the parameters passed between each capsule layer, decrease the complexity of operations, and then build the deep capsule network to improve the accuracy and efficiency of recognition.The channel attention mechanism was introduced to assign different weights to different features, and then the influence of useless features on the recognition results was reduced.The introduction of the residual network into the capsule network layer and the construction of the residual capsule network module alleviated the gradient disappearance problem of the deep capsule network.In terms of data pre-processing, the first 784byte of the intercepted packets was converted into images as input of the DRCN model, to avoid manual feature extraction and reduce the labor cost of encrypted traffic recognition.The experimental results on the ISCXVPN2016 dataset show that the accuracy of the DRCN model is improved by 5.54% and the training time of the model is reduced by 232s compared with the BLSTM model with the best performance.In addition, the accuracy of the DRCN model reaches 94.3% on the small dataset.The above experimental results prove that the proposed recognition scheme has high recognition rate, good performance and applicability.…”
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A New Approach Combining RSA and ElGamal Algorithms: Advancements in Encryption and Digital Signatures Using Gaussian Integers by Yahia Awad, Douaa Jomaa, Yousuf Alkhezi, Ramiz Hindi

“…This article introduces a novel approach that integrates the ElGamal and RSA algorithms to advance the security and efficiency of public-key cryptosystems. …”
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Coupling Heterogeneous Neural Networks With Memristors by Li Zhang, Rongli Jiang, Yike Ma, Xiangkai Pu, Zhongyi Li

“…Finally, we propose a DNA-based image encryption algorithm leveraging chaotic sequences generated by the network. …”
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On the Search for Supersingular Elliptic Curves and Their Applications by Ismel Martinez-Diaz, Rashad Ali, Muhammad Kamran Jamil

“…The key components of replacement, which is a fundamental step in the encryption process that shuffles and encrypts the data inside images, are S-boxes. …”
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A Combination of Hill Cipher and LSB for Image Security by Ibnu Utomo Wahyu Mulyono, Ajib Susanto, Muhamad Rizky Fajar Febrian, Ghaitsa Ardelia Rosyida

“…The Least Significant Bit (LSB) method is used to insert the ciphertext that has been generated from the hill cipher algorithm, has been testing using RGB, CMY, CMYK and YUV shapes with 6142 characters in 128 x 128 character images producing the highest PSNR value of 51.2826 dB in CMYK images. …”
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Implementation of the Advanced Encryption Standard (AES) Algorithm and Bit Plane Complexity Segmentation (BPCS) Steganography Technique for Enhancing Text File Security by Afthar Kautsar, Muhammad Ikhsan

“…In today's digital era, data security has become a crucial aspect due to the vast amount of information being transmitted and stored electronically. The Advanced Encryption Standard (AES) is one of the most widely used encryption algorithms because of its high level of security. …”
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Cryptanalysis of image confidentiality scheme based on hybrid chaotic maps by Majid Khan, Noor Munir

“…Abstract Chaos-based encryption has come to prominence as an efficient and lightweight approach to secure image communication. …”
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