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164 results for “Overhead”

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Research ArticleOpen accessIn the abstractSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,762 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine-Tuned and Optimized Transformer-Based Model for EEG Seizure DetectionPuspanjali Mallik, Ajit Kumar Nayak, Kumar Janardan Patra et al.Epilepsy, a widely recognized neurological disorder, results from irregularities in the transmission of electrical impulses among neurons in the brain. Over the last two decades, significant efforts have been made by researchers and clinicians to develop effective methods for its early detection and management. The electroencephalogram (EEG), a non-invasive tool used to monitor brainwave activity, has become a central device … …Journal of Computer Science, Vol. 21, Issue 11 · 11 Feb 2026 · 1,412 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Lightweight and Privacy-Preserving Biometric Authentication Framework for Sustainable IoMT SystemsSaima Anwar Lashari, Mahmood A. Al-Shareeda et al.Biometric authentication provides secure, identity-bound access control for the Internet of Medical Things (IoMT), crucial for wearable, implantable, and ambient devices. However, the inherent immutability and sensitivity of biometric data pose severe privacy risks in the event of a breach. Furthermore, conventional public-key cryptography is often too computationally intensive for resource-constrained IoMT hardware. To address these challenges, this paper proposes … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,924 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
Research ArticleOpen accessIn the abstractEnhancing Quality of Service of Video Streaming Applications Over Vehicular Ad-Hoc NetworksPooja Sharma, Ajay KaulVehicular ad-hoc networks play quite an important role in communication as it is challenging to have communication across VANET nodes because of high mobility. Video streaming applications over ad-hoc networks are quite difficult because of more mobility of VANET nodes. There are various existing techniques to optimize or improve the video dissemination over ad-hoc networks. Video streaming applications need a … …Journal of Computer Science, Vol. 21, Issue 7 · 30 Jun 2025 · 3,387 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Database Availability: A Combined Approach Using SQL Always on Failover Cluster Instance and Availability GroupsFaisal Rahman, Benfano SoewitoDatabase availability is a critical factor in supporting business processes to ensure uninterrupted operations. When the production server experiences failures, data may become inaccessible, disrupting business operations. To mitigate this risk, separating the production server from the reporting server is essential. However, this approach introduces challenges related to data synchronization and automatic failover during system failures. Existing High Availability (HA) … …Journal of Computer Science, Vol. 21, Issue 6 · 20 Jun 2025 · 4,255 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,089 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Assessment of CPU Scheduling Algorithms: A Scenario-Based Approach with FCFS, RR, and SJFOlaa Hajjar, Escelle Mekhallalati, Nada Annwty et al.This study presents an extensive examination of CPU scheduling algorithms, focusing on the First-Come, First-Served (FCFS), Round-Robin (RR), and Shortest-Job-First (SJF) strategies through a carefully designed scenario-based approach. By deploying a Java-based simulation to dynamically generate random process arrival and burst times, this study simulates a variety of operational conditions to test these scheduling algorithms’ adaptability and performance in environments … …Journal of Computer Science, Vol. 20, Issue 9 · 16 Jun 2024 · 9,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractFed-Deep CTRL (Light GBM)-Scalable, Interpretable, and Privacy-Preserving Federated Learning Framework for Wireless Intrusion Detection SystemSudaroli Vijayakumar, V. MuthumanikandanA learning-based intrusion detection system automates the understanding and reporting of network traffic information. The systems using neural networks and machine learning have demonstrated good detection accuracy, but the accuracy is entirely reliant on the type and volume of data. Additionally, there are issues with its scalability, privacy, efficiency, and interpretability. With the innovative fed-deep CTRL (light GBM) method, this … …Journal of Computer Science, Vol. 20, Issue 4 · 29 Feb 2024 · 5,321 accessesView PDFCite
Research ArticleOpen accessIn the abstractRRDVCR: Real-Time Reliable Data Delivery Based on Virtual Coordinating Routing for Wireless Sensor NetworksVenkatesh, Chanchal Singh Sengar, Kuppanna Rajuk Venugopal et al.Real-time industrial application requires a routing protocol that guarantees data delivery with reliable, efficient and low end-to-end delay. Existing Two-Hop Velocity based Routing (THVR) protocol relates two-hop velocity to end-to-end delay to select the next forwarding node, that has the overhead of exchanging control packets and depleting the available energy in nodes. We propose a Real-Time Reliable Data delivery based … …Journal of Computer Science, Vol. 14, Issue 1 · 3 Jan 2018 · 8,232 accessesView PDFCite