120 articles for “sensitive data”

Research ArticleOpen accessIn the abstractUncertainty-Aware Ensemble Models for Improved Defect Detection in Noisy DataMadhavi Perla, Gadi Lava Raju, A Radha Krishna et al.Software defect prediction plays a crucial role in ensuring software quality and reliability, especially as modern systems become more complex and data rich. This study introduces an uncertainty-aware ensemble learning framework aimed at improving defect classification performance in noisy and imbalanced datasets, particularly those from the PROMISE and NASA KC1 repositories. The proposed model integrates multiple classifiers in a multi-learner … …Journal of Computer Science, Vol. 22, Issue 4 · 27 Apr 2026 · 1,549 accessesView PDF Cite

Review ArticleOpen accessIn the abstractSecurity Threats to Databases in E-Commerce Systems: A Systematic Literature ReviewNurayn Mesfer AlqahtaniData is a primary by-product of each business. A typical business organization uses a database system to store and manage data. On the other hand, databases are the primary target of hackers and attackers. The existing literature shows that modern database systems are vulnerable to various data breaches, cyberattacks, or malware attacks. Modern business organizations and e-commerce owners look to … …Journal of Computer Science, Vol. 21, Issue 1 · 2 Dec 2024 · 7,303 accessesView PDF Cite

Research ArticleOpen accessIn the abstractStrengthening Image Security with Unimodular Hill Cipher and Advanced Encryption StandardSamsul Arifin, Dwi Wijonarko, Monica Mayeni Manurung et al.Digital data security has become increasingly important with the growth of digital image usage, which often contains sensitive information. This study aims to enhance the security of digital images by combining Unimodular Hill Cipher (UHC) and Advanced Encryption Standard (AES) methods. UHC, a matrix-based symmetric encryption algorithm, is used for image matrix encryption, while AES provides an additional layer of … …Journal of Computer Science, Vol. 21, Issue 5 · 22 Apr 2025 · 5,419 accessesView PDF Cite

Research ArticleOpen accessIn the abstractS-CPM: Semantic-Similarity Cluster based Privacy Preservation Model with Cell Generalization PrincipleSatish B Basapur, B S Shylaja, VenkateshTimely data analysis on a wide variety and a large volume of data unveil valuable information or new insights. The analysis results could be used to innovate new avenues in health care service, business and e-service, etc. However, releasing, storing and reusing sensitive data to third parties results in breaching the data privacy of the individual. To combat privacy breach … …Journal of Computer Science, Vol. 18, Issue 3 · 17 Mar 2022 · 6,320 accessesView PDF Cite

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 · 4,392 accessesView PDF Cite

Review ArticleOpen accessIn the abstractModeling the Nile: A Comprehensive Water Budget and Flow Assessment with the River Basin Flow Model (RBFM)Youssef Ismail HafezThe Nile River basin, covering 2.9 million km³ across 11countries, is one of the world's most complex hydrological systems. With an annual historical discharge of 84 billion m³ at Aswan, Egypt, and rainfall of around 1,660 billion m³ per year over the Nile basin, effective management of this vital transboundary resource requires a deep understanding of its hydrology. This study … …American Journal of Environmental Sciences, Vol. 21, Issue 1 · 18 Jun 2025 · 8,745 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEmpowering Privacy: Harnessing Hyperledger Fabric to Safeguard EHR SystemsVidhi Thakkar, Vrushank Manharlal ShahThe Blockchain boom began with the debut of Bitcoin. The application of blockchain technology is expanding rapidly. Various sectors such as supply chain, logistics, research, healthcare, government, banking, media, and entertainment have already embraced this ground-breaking, decentralized technology. The healthcare industry is at the top of the list with significant blockchain potential. This article discusses the permissioned blockchain powered by … …Journal of Computer Science, Vol. 19, Issue 11 · 18 Sep 2023 · 6,007 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGeometrical Approach to a New Hybrid Grid-Based Gravitational Clustering AlgorithmFaisal Bin Al Abid, A.N.M. Rezaul Karim, Golam Rahman ChowdhuryIn the past years, several clustering algorithms have been developed, for example, K-means, K-medoid. Most of these algorithms have the common problem of selecting the appropriate number of clusters and these algorithms are sensitive to noisy data and would cause less accurate clustering of the data set. Therefore, this paper introduces a new Hybrid Grid-based Gravitational Clustering Algorithm (HGGCA) geometrically, … …Journal of Computer Science, Vol. 17, Issue 3 · 9 Mar 2021 · 6,787 accessesView PDF Cite

Review ArticleOpen accessIn the abstractFederated Learning for Analysis of Medical Images: A SurveyMuhammad Imran Sharif, Mehwish Mehmood, Md Palash Uddin et al.Machine learning models trained in medical imaging can help in the early detection, diagnosis, and prognosis of the disease. However, it confronts two major obstacles: deep learning models require access to a substantial amount of imaging data, which is a hard constraint, and the patient data is private and sensitive, so it cannot be shared like 1 other imaging data … …Journal of Computer Science, Vol. 20, Issue 12 · 28 Oct 2024 · 11,838 accessesView PDF Cite

Research ArticleOpen accessIn the abstractInvestigation of Climatological Components on Runoff Modeling using SWATHamid-Reza Rabiefar, Sayed-Reza Alvankar, Kaveh Ostad-Ali-AskariIt was planned most hydraulic projects, for instance barriers, it was defined the overflow of the rivers. If the river absences any position to measure the yield, the hydraulic models can be utilized to estimate it. SWAT is widely-used computerized mockups. It was required to feed such influential climatological information as precipitation, temperature, wind speed, solar radiation and relative humidity, … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 30 Dec 2020 · 6,118 accessesView PDF Cite