Shuying Xu¹, Chin-Chen Chang¹, Ji-Hwei Horng^2,*

Computer Systems Science and Engineering, Vol.44, No.1, pp. 721-739, 2023, DOI:10.32604/csse.2023.026046

Abstract Hiding secret data in digital images is one of the major research fields in information security. Recently, reversible data hiding in encrypted images has attracted extensive attention due to the emergence of cloud services. This paper proposes a novel reversible data hiding method in encrypted images based on an optimal multi-threshold block labeling technique (OMTBL-RDHEI). In our scheme, the content owner encrypts the cover image with block permutation, pixel permutation, and stream cipher, which preserve the in-block correlation of pixel values. After uploading to the cloud service, the data hider applies the prediction error rearrangement (PER), the optimal threshold selection… More >

S. Lakshmi Narayanan^*

Computer Systems Science and Engineering, Vol.43, No.3, pp. 931-946, 2022, DOI:10.32604/csse.2022.022459

Abstract The main aim of this work is to improve the security of data hiding for secret image sharing. The privacy and security of digital information have become a primary concern nowadays due to the enormous usage of digital technology. The security and the privacy of users’ images are ensured through reversible data hiding techniques. The efficiency of the existing data hiding techniques did not provide optimum performance with multiple end nodes. These issues are solved by using Separable Data Hiding and Adaptive Particle Swarm Optimization (SDHAPSO) algorithm to attain optimal performance. Image encryption, data embedding, data extraction/image recovery are the… More >

S. Aiswarya^*, R. Gomathi

Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 969-982, 2022, DOI:10.32604/iasc.2022.025475

Abstract Reversible Data Hiding (RDH) is the process of transferring secret data hidden inside cover media to the recipient so the recipient can securely retrieve both the secret data and cover media. The RDH approach is applied in this study in the field of telemedicine, and medical-secret data is conveyed privately via medical cover video. Morse code-based data encryption technique tends to encrypt the medical-secret data by compression using the Arithmetic coding technique. Discrete Shearlet transform (DST) compresses the selected frame from the medical cover video and the compressed secret data is embedded into the compressed frame using logical operations. On… More >

Yu Ren¹, Jiaohua Qin^1,*, Yun Tan¹, Neal N. Xiong²

Intelligent Automation & Soft Computing, Vol.33, No.3, pp. 1439-1453, 2022, DOI:10.32604/iasc.2022.025485

Abstract In the field of reversible data hiding in encrypted images (RDH-EI), predict an image effectively and embed a message into the image with lower distortion are two crucial aspects. However, due to the linear regression prediction being sensitive to outliers, it is a challenge to improve the accuracy of predictions. To address this problem, this paper proposes an RDH-EI scheme based on adaptive prediction-error label map. In the prediction stage, an adaptive threshold estimation algorithm based on local complexity is proposed. Then, the pixels selection method based on gradient of image is designed to train the parameters of the prediction… More >

Mahmoud Ragab^1,2,3,*, Samah Alshehri⁴, Hani A. Alhadrami^5,6,7, Faris Kateb¹, Ehab Bahaudien Ashary⁸, S. Abdel-khalek^9,10

CMC-Computers, Materials & Continua, Vol.72, No.1, pp. 1323-1338, 2022, DOI:10.32604/cmc.2022.024775

Abstract Rapid advancements of the Industrial Internet of Things (IIoT) and artificial intelligence (AI) pose serious security issues by revealing secret data. Therefore, security data becomes a crucial issue in IIoT communication where secrecy needs to be guaranteed in real time. Practically, AI techniques can be utilized to design image steganographic techniques in IIoT. In addition, encryption techniques act as an important role to save the actual information generated from the IIoT devices to avoid unauthorized access. In order to accomplish secure data transmission in IIoT environment, this study presents novel encryption with image steganography based data hiding technique (EIS-DHT) for… More >

Yung-Yao Chen^1,*, Yu-Chen Hu², Ting-Kai Yang³, You-An Wang³

CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 5167-5182, 2022, DOI:10.32604/cmc.2022.023993

Abstract Nowadays since the Internet is ubiquitous, the frequency of data transfer through the public network is increasing. Hiding secure data in these transmitted data has emerged broad security issue, such as authentication and copyright protection. On the other hand, considering the transmission efficiency issue, image transmission usually involves image compression in Internet-based applications. To address both issues, this paper presents a data hiding scheme for the image compression method called absolute moment block truncation coding (AMBTC). First, an image is divided into non-overlapping blocks through AMBTC compression, the blocks are classified four types, namely smooth, semi-smooth, semi-complex, and complex. The… More >

Ying Zhou^*, Weiwei Luo

Journal on Big Data, Vol.3, No.3, pp. 127-133, 2021, DOI:10.32604/jbd.2021.019236

Abstract In recent years, QR code has been widely used in the Internet and mobile devices. It is based on open standards and easy to generate a code, which lead to that anyone can generate their own QR code. Because the QR code does not have the ability of information hiding, any device can access the content in QR code. Thus, hiding the secret data in QR code becomes a hot topic. Previously, the information hiding methods based on QR code all use the way of information hiding based on image, mostly using digital watermarking technology, and not using the coding… More >

S. Sudha Mercy^1,*, J. M. Mathana², J. S. Leena Jasmine³

Intelligent Automation & Soft Computing, Vol.32, No.1, pp. 589-604, 2022, DOI:10.32604/iasc.2022.021068

Abstract Wireless Sensor Network (WSN) encompasses several tiny devices termed as Sensor Nodes (SN) that have restriction in resources with lower energy, memory, together with computation. Data Aggregation (DA) is required to optimize WSN for secured data transmission at Cluster Head (CH) together with Base Station (BS). With regard to the Energy Efficiency (EE) along with the privacy conservation requirements of WSN in big-data processing and aggregation, this paper proposed Diversity centered Adaptive Moth-Flame Optimization (DAMFO) for Optimal Path Selection (OPS) and DA in WSN. In the proposed work, initially, the Trust Evaluation (TE) process is performed. The Pompeiu Distance-centered Fuzzy… More >

Xin Jin^*, Lanxin Su, Jitao Huang

Journal of Information Hiding and Privacy Protection, Vol.3, No.2, pp. 69-82, 2021, DOI:10.32604/jihpp.2021.014108

Abstract In traditional secret sharing schemes, all shared images containing secret segments are needed to recover secret information. In this paper, a reversible data hiding scheme based on Shamir secret sharing is used. Secret information can be recovered even if only part of the encrypted sharing is owned. This method can reduce the vulnerability of traditional encryption sharing schemes to attack. Before uploading the secret information to the cloud server, embed the encrypted n segments of secret information into n different pictures. The receiver downloads t images from the cloud server (t < n), extracts the encrypted information using the watermark… More >

J. Hemalatha¹, S. Geetha², R. Geetha³, C. Balasubramanian⁴, Daniela Elena Popescu⁵, D. Jude Hemanth^6,*

CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 283-300, 2021, DOI:10.32604/cmc.2021.017203

Abstract A novel image reversible data-hiding scheme based on primitive and varying radix numerical model is presented in this article. Using varying radix, variable sum of data may be embedded in various pixels of images. This scheme is made adaptive using the correlation of the neighboring pixels. Messages are embedded as blocks of non-uniform length in the high-frequency regions of the rhombus mean interpolated image. A higher amount of data is embedded in the high-frequency regions and lesser data in the low-frequency regions of the image. The size of the embedded data depends on the statistics of the pixel distribution in… More >