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30 articles for “Cybersecurity”
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Research ArticleOpen accessEvery word in the titleEnsemble Learning-Based Hybrid Explainable Intrusion Detection System With SMOTE for Enhanced Detection and Interpretability in CybersecurityMohammad Subhi Al-Batah, Taqieddin AldrousWith cyberattacks becoming increasingly sophisticated, there is a growing need for Intrusion Detection Systems (IDS) that are both accurate and interpretable. This study introduces a hybrid IDS framework that integrates Random Forest (RF) and Light Gradient Boosting Machine (LGBM) classifiers with the Synthetic Minority Over-sampling Technique (SMOTE) to address class imbalance. To enhance transparency and trust, the system also incorporates … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,277 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network ProtectionSina AhmadiThe growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically Retrainable Firewalls”, which respond to emerging threats in real-time. Unlike traditional firewalls that rely on static rules to inspect traffic, these advanced systems leverage machine learning algorithms to analyze network traffic patterns dynamically and identify threats. … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,558 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCybersecurity Mechanism for Automatic Detection of IoT Intrusions Using Machine LearningCheikhane Seyed, MBaye Kebe, Mohamed El Moustapha El Arby et al.This article proposes an ML-based cyber security mechanism to optimize intrusion detection that attacks internet objects (IoT). Our approach consists of bringing together several learning methods namely supervised learning, unsupervised learning and reinforcement learning within the same Canvas. The objective is to choose among them the most optimal for classifying and predicting attacks while minimizing the impact linked to the … …Journal of Computer Science, Vol. 20, Issue 1 · 11 Dec 2023 · 6,176 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Optimized Multi-Layer Perceptron Framework for Detecting and Classifying IoT AttacksSanchit Vashisht, Shalli RaniThe Internet of Things (IoT) is revolutionizing industries by connecting billions of smart devices, enabling automation and information exchange. The expansion of IoT ecosystems has simultaneously increased the surface area for cyberattacks. These environments are particularly vulnerable to a wide range of threats, such as Distributed Denial-of-Service (DDoS), poisoning, brute-force SSH intrusions, and various network reconnaissance techniques. The dynamic nature … …Journal of Computer Science, Vol. 21, Issue 12 · 11 Feb 2026 · 1,333 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOnline 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 · 2,078 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Succinct Review on Identification of Network Anomalies and Protection in Cyber-Physical SystemsShalini Kumari, Chander Prabha, Prakash Srivastava et al.Advanced cyberattacks outperform traditional threat detection methods in the rapidly expanding cybersecurity field. Advanced Machine Learning (ML) algorithms can detect network traffic and system problems using AI-based Anomaly Detection (AD) for cybersecurity in real-time. Signature-based systems may overlook new and subtle threats. This paper examines Artificial Intelligence (AI) driven AD systems' design, methodology, and efficacy. The process includes data preprocessing … …Journal of Computer Science, Vol. 21, Issue 6 · 29 May 2025 · 5,234 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApriori-Based Analysis of Website PhishingRene Clint Gortifacion, Rhoderick Malangsa, Adelfa Diola, Tamar Mejia JuniorPhishing attacks put users' sensitive information at serious risk and are a rising concern in cybersecurity. In order to minimize the possible damage brought on by these assaults, it is essential to detect and categorize phishing websites correctly. In this study, we provide an Apriori-based analysis method for identifying and categorizing website phishing. The Apriori algorithm, which is frequently used … …Journal of Computer Science, Vol. 21, Issue 5 · 7 May 2025 · 5,040 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Approach to Information Security Based on the Legal Basis for an Organization in EcuadorDiego Gustavo Andrade Armas, Segundo Moisés Toapanta, Eriannys Zharayth Gómez Díaz et al.Information security issues persist at both technical and legal levels, among others. One of the main causes in Ecuador is the lack of an adequate legal framework for the field of information and communication technologies. The objective of this research is to conduct an analysis of information security considering the legal framework for information technologies for an organization. The deductive … …Journal of Computer Science, Vol. 20, Issue 10 · 18 Aug 2024 · 5,025 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Model of Cyber Extremists' Rhetorical Structure Towards Protecting Critical InfrastructureOsman Khairunnisa, Jano Zanariah, Ahmad RabiahMuch research at present focuses on the ways in which organizations secure their networks and information in the supply chain, ignoring the ways in which organizations construct and understand the core of the cybersecurity risks. Cybersecurity focuses more on defense mechanisms such as anti-virus software, malware protection, firewall and more on securing network and application. More research to understand extremist … …Journal of Computer Science, Vol. 20, Issue 6 · 14 Mar 2024 · 5,183 accessesView PDFCite
Research NotesOpen accessIn the keywordsMethods for Universal Authentication of Medical DevicesMark A. Brown, Ilham Alshiraihi, Callie Blase et al.The need for effective means of authentication of medical devices has increased with the growing number of falsified in vitro diagnostics and devices being introduced across world markets. Such substandard products result in negative consequences ranging from harm to patients and/or failure to impart the desired clinical outcomes to a loss of public trust in healthcare providers and regulatory agencies. … …American Journal of Immunology, Vol. 15, Issue 1 · 17 Jun 2019 · 7,355 accessesView PDFCite