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42 articles for “Intrusion Detection System (IDS)”
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Research ArticleOpen accessIn the abstractA Novel Intrusion Detection System for Wireless Body Area Network in Health Care MonitoringT. V.P. Sundararajan, A. ShanmugamProblem statement: Health monitoring, telemedicine, military, interactive entertainment and portable audio/video systems were most promising applications where WBANs can be used. However, designers of such systems face a number of challenging tasks, as they need to address often quite conflicting requirements for size, operating time, precision and reliability. Network security is very important in Wireless Body Area Network (WBAN) since … …Journal of Computer Science, Vol. 6, Issue 11 · 26 Oct 2010 · 6,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractAmelioration of Attack Classifications for Evaluating and Testing Intrusion Detection SystemMohammed Saber, Toumi Bouchentouf, Abdelhamid Benazzi, Mostafa AziziProblem statement: The problem of the computer attack system has recently been much studied to improve the evaluation process of the Intrusion Detection Systems (IDS). Approach: This study aimed at presenting the principal attacks classifications; especially, the study of classification towards the evaluation for which we suggested some improvements that may allow the generation of a test cases selection about … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,408 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncreasing Effectiveness of IDS to Improve Security in IntranetUmesh Kumar Singh, A. K. Ramani, Narendra S. Chaudhari, Vandana GuptaToday Intrusion Detection Systems (IDS) are becoming one of the most important tools for intranet security. Research regarding Intrusion Detection Systems (IDSs) has become more active with the recent increases in illegal accesses to computer systems. Many researchers focus only on the techniques or mechanisms for detecting intrusions automatically, without considering the security of IDSs themselves. When an intruder attacks … …American Journal of Applied Sciences, Vol. 2, Issue 6 · 30 Jun 2005 · 7,146 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 869 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 999 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBlockchain-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 · 1,714 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordOnline 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
Research ArticleOpen accessAll words, across the recordIntelligent Intrusion Detection System Using RF, SVM, and DT: A Comparison-Based KDD Data SetWalaa Hassan Elashmawi, Alaa Sheta, Ahmad Al-QeremThe rapid growth of technology has brought about many advantages, but has also made networks more susceptible to security threats. Intrusion Detection Systems (IDS) play a vital role in protecting computer networks against malicious activities. Given the dynamic and constantly evolving nature of cyber threats, these systems must continuously adapt to maintain their effectiveness. Machine Learning (ML) methods have gained … …Journal of Computer Science, Vol. 21, Issue 8 · 28 Aug 2025 · 5,818 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Ensemble of Gaussian Mixture Model and Support Vector Machines for Network Intrusion DetectionOlujimi Daniel Alao, Sheriff Alimi, Shade Oluwakemi Kuyoro et al.NetworkIntrusion Detection Systems (NIDS) can protect computer networks and computersystems by detecting abnormal network packets and taking agreed action plans,such as notifying an administrator or rejecting the network packets. In this study,the aim is the implementation of NIDS with improved performance using anensemble of Support Vector Machines (SVMs) and the Gaussian Mixture Model(GMM). Four SVMs with Radial Basis Function (RBF), … …Journal of Computer Science, Vol. 18, Issue 9 · 21 Sep 2022 · 6,114 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHYBRID FEATURE SELECTION ALGORITHM FOR INTRUSION DETECTION SYSTEMSeyed Reza Hasani, Zulaiha Ali Othman, Seyed Mostafa Mousavi KahakiNetwork security is a serious global concern. Usefulness Intrusion Detection Systems (IDS) are increasing incredibly in Information Security research using Soft computing techniques. In the previous researches having irrelevant and redundant features are recognized causes of increasing the processing speed of evaluating the known intrusive patterns. In addition, an efficient feature selection method eliminates dimension of data and reduce redundancy … …Journal of Computer Science, Vol. 10, Issue 6 · 31 Jan 2014 · 7,350 accessesView PDFCite