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18 articles for “Privacy Preserving Mode”
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Research ArticleOpen accessEvery word in the titleA New Authentication and Homomorphic Encryption as a Service Model for Preserving Privacy in CloudsKarim Zkik, Maha Tebaa, Tarik Tachihante, Ghizlane OrhanouThe security as a Service (SECaaS) is a new model which provides security solution to users through Cloud Computing. The maturity of Cloud Computing services makes possible the use of the SECaaS model. This new model offers huge benefits to users, such as Authentication as a Service (AaaS) and Encryption as a Service (ENCaaS). So, it can offer more security … …Journal of Computer Science, Vol. 13, Issue 12 · 15 Nov 2017 · 7,438 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSEAchain: A Privacy-Preserving Dual-Credential Model on BlockchainS. Balachander, A. MuruganAll facets of daily life are now impacted by transaction data. The complex and heterogeneous network created by millions of users, devices, online services, and applications makes digital identity management more difficult. Users can maintain control over their personal information via distributed identity, a potentially useful model for resolving identity issues. Nevertheless, current state-of-the-art techniques are inappropriate because of persistent … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,310 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing the CIC IoT Dataset 2023 for Improved Attack Detection through GANs Augmentation and Federated LearningShahad Alahmari, Noura AleisaThe escalating frequency and sophistication of cyber-attacks on Internet of Things (IoT) devices present a pressing challenge to cybersecurity. With IoT device connections projected to exceed 42 billion by 2025, the vulnerability of these devices to cyber-attacks has never been more evident. This paper investigates the integration of Machine Learning (ML) and data augmentation, specifically Generative Adversarial Networks (GAN) and … …Journal of Computer Science, Vol. 21, Issue 7 · 18 Jul 2025 · 9,111 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPRESERVATION OF THE PRIVACY FOR MULTIPLE CUSTODIAN SYSTEMS WITH RULE SHARINGB. Murugeshwari, C. Jaya Kumar, K. SarukesiThe aim of the research work is to mine the data set available with each custodian in a semi honest model, securely without disclosure of any data amongst various custodians involved. No custodian discloses any information. In the proposed scheme in order to reduce the computational complexity, the data partitioning has been done in the horizontal way. The proposed research … …Journal of Computer Science, Vol. 9, Issue 9 · 6 Aug 2013 · 6,311 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Cluster Head Selection in IoV-Enabled VANETs Using a Federated Diffusion Convolutional Recurrent Neural Networks FrameworkP Subhash, Madana Srinivas, A. Ranjith et al.The IoV enables the formation of VANETs that require a strong selection of CHs for effective communication within high-velocity changing traffic scenarios. Existing approaches often face issues related to scalability, privacy, and adaptability. To meet the aforementioned urgent needs, we design a decentralized scheme for intelligent CH selection based on Federated Learning with Diffusion Convolutional Recurrent Neural Networks (DCRNNs). According … …Journal of Computer Science, Vol. 22, Issue 10 · 1 Oct 2026 · 599 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain-Enabled Privacy-Preserving Access Control for Electronic Health Records Using Smart ContractsG. Bhanu Prasad, M. Venkateswara RaoElectronic medical records are crucial for providing high-quality healthcare, but they also raise serious privacy and security issues. Traditional centralised storage systems are vulnerable to manipulation, hacking, and illegal access. This study suggests a smart contract-based blockchain architecture that provides decentralised, unaltered, and privacy-preserving access control for EMRs. The model integrates cryptographic techniques like AES-256 encryption and SHA-256 hashing for … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multiphase Zero-Trust Authentication Framework Using Replicated and Homomorphic EncryptionModisaotsile Marope, Venumadhav Kuthadi, Rajalakshmi Selvaraj et al.In response to the increasing complexity and vulnerability of traditional authentication techniques, this paper proposes the Multiphase Zero-Trust Authentication Framework (MZTAF), which combines device-level and user-level authentication to enhance security in zero-trust environments. Phase I leverages replicated key-based authentication to ensure fault tolerance and reduce the risk of device-level compromise. Phase II introduces homomorphic encryption for user authentication, securely verifying … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,657 accessesView PDFCite
Review ArticleOpen accessIn the abstractDeepfake Technology: A Comprehensive Review of Trends, Applications, Ethical Concerns, and ChallengesBattula Thirumaleshwari Devi, Rajkumar RajasekaranThe digital age has fundamentally transformed how information is created and disseminated, raising critical concerns about the authenticity and trustworthiness of online content. Recent advances in Artificial Intelligence (AI), particularly deep learning, have given rise to deepfakes: highly realistic synthetic media generated by manipulating or replacing faces, voices, and actions in videos. While deepfake technology offers innovative applications across various … …Journal of Computer Science, Vol. 22, Issue 1 · 17 Feb 2026 · 4,861 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrivacy-Preserving Deep Federated Learning on the Edge Using Homomorphic Encryption and Secure Multiparty ComputationNoman Aasif Gudur, Mohamed El-Dosuky, Sherif KamelThe increasing volume of consumer data necessitates reliable edge devices for personalized user experiences. Federated Learning (FL) offers a state-of-the-art approach to decentralized machine learning by leveraging data distributed across multiple client devices. However, user data privacy remains vulnerable to corruption through feature heterogeneity and malicious attacks. While several privacy-preserving techniques have been previously implemented, they suffer from implementation constraints … …Journal of Computer Science, Vol. 21, Issue 11 · 21 Dec 2025 · 4,381 accessesView PDFCite
Research ArticleOpen accessIn the abstractSafeguarding Electronic Health Records: A Review of Privacy and Security in EHR WorkflowsGayathri Hegde M, P. Deepa Shenoy, Venugopal K RElectronic Health Records (EHRs) have revolutionized the healthcare industry by improving the accessibility to patient data, optimizing workflows and refining clinical decision making. The increasing use of digital records raises serious privacy and security concerns, particularly about healthcare data storage and management, access and retrieval, and sharing and interoperability. This survey paper comprehensively reviews existing privacy-preserving and security-enhancing approaches across … …Journal of Computer Science, Vol. 21, Issue 11 · 18 Dec 2025 · 2,233 accessesView PDFCite