Ahmed I. Alutaibi^*

CMC-Computers, Materials & Continua, Vol.85, No.1, pp. 875-903, 2025, DOI:10.32604/cmc.2025.067078 - 29 August 2025

Abstract The rapid evolution of quantum computing poses significant threats to traditional cryptographic schemes, particularly in Decentralized Finance (DeFi) systems that rely on legacy mechanisms like RSA and ECDSA for digital identity verification. This paper proposes a quantum-resilient, blockchain-based identity verification framework designed to address critical challenges in privacy preservation, scalability, and post-quantum security. The proposed model integrates Post-quantum Cryptography (PQC), specifically lattice-based cryptographic primitives, with Decentralized Identifiers (DIDs) and Zero-knowledge Proofs (ZKPs) to ensure verifiability, anonymity, and resistance to quantum attacks. A dual-layer architecture is introduced, comprising an identity layer for credential generation and validation,… More >

Ling Huang^1,2, Hao Zhang^1,2, Jiwei Mo^1,2, Yuehong Liu^1,2, Qiu Lu^1,2,*, Shuiwang Li^1,2,*

Journal of Information Hiding and Privacy Protection, Vol.7, pp. 45-60, 2025, DOI:10.32604/jihpp.2025.066524 - 31 July 2025

Abstract Rapid advances in computer vision have enabled powerful visual perception systems in areas such as surveillance, autonomous driving, healthcare, and augmented reality. However, these systems often raise serious privacy concerns due to their ability to identify and track individuals without consent. This paper explores the emerging field of identity-hiding visual perception, which aims to protect personal identity within visual data through techniques such as anonymization, obfuscation, and privacy-aware modeling. We provide a system-level overview of current technologies, categorize application scenarios, and analyze major challenges—particularly the trade-off between privacy and utility, technical complexity, and ethical risks. More >

Ammar Odeh^*, Anas Abu Taleb

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 447-461, 2025, DOI:10.32604/cmc.2025.065426 - 09 June 2025

Abstract The increasing deployment of Internet of Things (IoT) devices has introduced significant security challenges, including identity spoofing, unauthorized access, and data integrity breaches. Traditional security mechanisms rely on centralized frameworks that suffer from single points of failure, scalability issues, and inefficiencies in real-time security enforcement. To address these limitations, this study proposes the Blockchain-Enhanced Trust and Access Control for IoT Security (BETAC-IoT) model, which integrates blockchain technology, smart contracts, federated learning, and Merkle tree-based integrity verification to enhance IoT security. The proposed model eliminates reliance on centralized authentication by employing decentralized identity management, ensuring tamper-proof… More >

Ronglei Hu¹, Chuce He^1,2, Sihui Liu¹, Dong Yao¹, Xiuying Li¹, Xiaoyi Duan^1,*

CMC-Computers, Materials & Continua, Vol.84, No.1, pp. 937-956, 2025, DOI:10.32604/cmc.2025.062542 - 09 June 2025

Abstract Ciphertext data retrieval in cloud databases suffers from some critical limitations, such as inadequate security measures, disorganized key management practices, and insufficient retrieval access control capabilities. To address these problems, this paper proposes an enhanced Fully Homomorphic Encryption (FHE) algorithm based on an improved DGHV algorithm, coupled with an optimized ciphertext retrieval scheme. Our specific contributions are outlined as follows: First, we employ an authorization code to verify the user’s retrieval authority and perform hierarchical access control on cloud storage data. Second, a triple-key encryption mechanism, which separates the data encryption key, retrieval authorization key, More >

Feng Wei^*, Zhao Chen, Yin Wang, Dongqing Liu, Xun Zhang, Zhao Zhou

CMC-Computers, Materials & Continua, Vol.82, No.3, pp. 5325-5341, 2025, DOI:10.32604/cmc.2025.058802 - 06 March 2025

Abstract The integration of artificial intelligence (AI) with advanced power technologies is transforming energy system management, particularly through real-time data monitoring and intelligent decision-making driven by Artificial Intelligence Generated Content (AIGC). However, the openness of power system channels and the resource-constrained nature of power sensors have led to new challenges for the secure transmission of power data and decision instructions. Although traditional public key cryptographic primitives can offer high security, the substantial key management and computational overhead associated with these primitives make them unsuitable for power systems. To ensure the real-time and security of power data… More >

Jiaqi Gao¹, Kangfeng Zheng^1,*, Xiujuan Wang², Chunhua Wu¹, Bin Wu²

CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 251-270, 2024, DOI:10.32604/cmc.2024.055560 - 15 October 2024

Abstract User identity linkage (UIL) refers to identifying user accounts belonging to the same identity across different social media platforms. Most of the current research is based on text analysis, which fails to fully explore the rich image resources generated by users, and the existing attempts touch on the multimodal domain, but still face the challenge of semantic differences between text and images. Given this, we investigate the UIL task across different social media platforms based on multimodal user-generated contents (UGCs). We innovatively introduce the efficient user identity linkage via aligned multi-modal features and temporal correlation… More >

Iuon-Chang Lin¹, I-Ling Yeh¹, Ching-Chun Chang², Jui-Chuan Liu³, Chin-Chen Chang^3,*

CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 809-822, 2024, DOI:10.32604/cmes.2024.051612 - 20 August 2024

Abstract Centralized storage and identity identification methods pose many risks, including hacker attacks, data misuse, and single points of failure. Additionally, existing centralized identity management methods face interoperability issues and rely on a single identity provider, leaving users without control over their identities. Therefore, this paper proposes a mechanism for identity identification and data sharing based on decentralized identifiers. The scheme utilizes blockchain technology to store the identifiers and data hashed on the chain to ensure permanent identity recognition and data integrity. Data is stored on InterPlanetary File System (IPFS) to avoid the risk of single More >

Zhen Su^1,*, Ziqiang Zhang², Yonghao Zhou³

International Journal of Mental Health Promotion, Vol.26, No.7, pp. 579-588, 2024, DOI:10.32604/ijmhp.2024.051842 - 30 July 2024

Abstract Appropriate physical exercise has a positive impact on adolescents’ physical and mental health, but there is a serious lack of physical exercise among Chinese adolescents. How to shape their exercise behavior (EB) has become an important task in promoting their development. A questionnaire survey was conducted using stratified cluster random sampling on three middle schools by class in Zhejiang Province, China to investigate the impact of exercise atmosphere (EA) on adolescents’ exercise behavior and the mediating role of exercise identity (EI) and exercise habit (EH). 806 adolescents were investigated by the Exercise Atmosphere Scale (EAS),… More >

Yi-Bo Cao^1,*, Xiu-Bo Chen¹, Yun-Feng He², Lu-Xi Liu², Yin-Mei Che², Xiao Wang², Ke Xiao³, Gang Xu³, Si-Yi Chen¹

CMC-Computers, Materials & Continua, Vol.78, No.2, pp. 2813-2827, 2024, DOI:10.32604/cmc.2024.046816 - 27 February 2024

Abstract Due to the rapid advancements in network technology, blockchain is being employed for distributed data storage. In the Internet of Things (IoT) scenario, different participants manage multiple blockchains located in different trust domains, which has resulted in the extensive development of cross-domain authentication techniques. However, the emergence of many attackers equipped with quantum computers has the potential to launch quantum computing attacks against cross-domain authentication schemes based on traditional cryptography, posing a significant security threat. In response to the aforementioned challenges, our paper demonstrates a post-quantum cross-domain identity authentication scheme to negotiate the session key… More >

Jun Lee¹, Hanna Lee², Seong Chan Lee², Hyun Kwon^3,*

CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 617-632, 2024, DOI:10.32604/cmc.2023.045768 - 30 January 2024

Abstract Non-face-to-face psychological counseling systems rely on network technologies to anonymize information regarding client identity. However, these systems often face challenges concerning voice data leaks and the suboptimal communication of the client’s non-verbal expressions, such as facial cues, to the counselor. This study proposes a metaverse-based psychological counseling system designed to enhance client identity protection while ensuring efficient information delivery to counselors during non-face-to-face counseling. The proposed system incorporates a voice modulation function that instantly modifies/masks the client’s voice to safeguard their identity. Additionally, it employs real-time client facial expression recognition using an ensemble of decision… More >