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248 results for “Security mode”
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Research ArticleOpen accessIn the abstractBlockchain-Enabled Decisive Red Fox Optimizer-Based Feature Selection With Deep Learning-Based Intrusion Detection SystemC. Ananth, S. Sathiyarani, N. MohananthiniRecently, Intrusion Detection Systems (IDS) using Deep Learning (DL) models become useful in accomplishing network security. The selected features serve as input to the DL model, which is trained on labelled datasets to learn intrinsic patterns distinguishing malicious from normal network behaviour. DL techniques like Convolutional Neural Networks (CNN) are usually utilized. The seamless combination of Public Blockchain (BC) technology … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,722 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Information Security Vulnerabilities and Threats to Implementing Security Mechanism and Security Policy AuditMohammed A.M. AfifiIn spite of the massive investment of money, time and efforts an organization devotes to growth and enhancement with continuous improvements of a sound information security strategy, the human factor is ultimately and eventually the one behind the keyboard. As a result, human beings remain the most vulnerable and weakest entity in the information security chain. A negligent and irresponsible … …Journal of Computer Science, Vol. 16, Issue 3 · 20 Mar 2020 · 7,897 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Authentication Model for Online Transaction PaymentsOwusu Nyarko-Boateng, Benjamin A. Weyori, Lord Anertei TettehThe rapid growth of the internet across the globe has gained attention in the world of business. The internet has become the major driver for business growth in the world; due to several security lapses online; it is necessary to implement measures and standards on the internet to protect transactions online. These security lapses have led to the development of … …Journal of Computer Science, Vol. 16, Issue 2 · 20 Feb 2020 · 7,578 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Classified Protection Protocol for RFID-based Medical SystemsXueping Ren, Ming JiangRFID technology has been used in many medical systems. The data transmitted in these medical systems is very important and sensitive. The security of these private data has a wide range of risks. Most existing protocols lack the idea of classified security protection for RFID-based medical systems. These protocols are difficult to apply directly. To address this problem, a reliable … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 3 · 5 Aug 2020 · 6,374 accessesView PDFCite
Research ArticleOpen accessIn the abstractOnline ML Streaming-Based Leading Ensemble Classifier for Intrusion Detection in IoTNeeraj Sharma, Neelu NihalaniIn the present decade, preventing IoT networks from malicious attacks and to ensure the privacy and integrity of data by strengthening their cybersecurity perspective is a critical concern. Traditional methods alone are not sufficient to detect multiple attacks. IDS-based system plays a crucial role to maintain security due to continuous expanding nature of IoT networks. Traditional methods alone are often … …Journal of Computer Science, Vol. 21, Issue 10 · 16 Dec 2025 · 2,086 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Feature Reduction Techniques for Enhanced Network Threat Detection in Wireless Sensor NetworksBikash Kalita, Satyajit SarmahThe security of Wireless Sensor Networks (WSNs) is currently seriously threatened by numerous threats. Consequently, a number of applications are offered to regulate data and information sharing along with the related security features that need to be maintained throughout data transfer. This study suggests an intelligent feature reduction methodology based on machine learning that uses Modified Principal Component Analysis (MPCA) … …Journal of Computer Science, Vol. 21, Issue 8 · 10 Oct 2025 · 2,295 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrop Yield Prediction in Niger Using Machine Learning TechniquesMahaman Lawali Inoussa Garba, Naroua Harouna, Chaibou Kadri et al.Agriculture is the most impactful sector on Niger's economic growth. Stresses related to climate change and the environment are leading to a continuous decline in crop yield. Accurate crop yield forecasting is of paramount importance for farmers, government, policy makers, and other stakeholders to make most appropriate decisions regarding resource allocation and food security. This study examines the power of … …Journal of Computer Science, Vol. 21, Issue 8 · 16 Sep 2025 · 5,799 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Associated with Irrational Use of Antibiotics. A Cross-Sectional Study in the City of Marrakech MoroccoNaima Aoutil, Mohamed Cherkaoui, Mohamed BouskraouiOveruse and inappropriate use of antibioticsleads to the emergence of antibiotic-resistant bacteria. This resistance leadsto longer hospital stays, higher medical costs, and increased mortality. Therefore,its control must be a priority as it poses a threat to all nations, regardlessof their territory and economic status.In Marrakech too, antibioticresistance is a real public health problem, limiting treatment options. Thepopulation plays a crucial … …OnLine Journal of Biological Sciences, Vol. 25, Issue 1 · 6 Feb 2025 · 4,545 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Source Cyber Intrusion Detection Using Ensemble Machine LearningTaskeen Ali Khan, Sara Abbas, Biswaranjan Senapati et al.The increased usage of digital technologies across businesses has led to an increase in cybercrime. It is difficult for existing intrusion detection systems to detect highly skilled hacking attempts; however, machine learning has been suggested as a way around these drawbacks. The purpose of this study is to evaluate how well various machine learning algorithms identify and stop cyberattacks in … …Journal of Computer Science, Vol. 21, Issue 1 · 14 Dec 2024 · 5,705 accessesView PDFCite