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62 articles for “Network Intrusion Detection”
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Research ArticleOpen accessPhrase in the titleA Distillation GAN Model for Network Intrusion DetectionChandrakala C B, Sai Sreevall, Raghudathesh G PThis study presents a distillation-based Generative Adversarial Network (GAN) model designed for intrusion detection in network systems. A Teacher-Student architecture is proposed, in which a single teacher generator is utilized to train both the teacher discriminator and the student discriminator. The model was trained to identify anomalies present in network traffic intrusions by tuning the min-max loss function in GANs. … …Journal of Computer Science, Vol. 22, Issue 2 · 5 Mar 2026 · 1,549 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleToward an Online DoS/DDoS Classification: An Empirical Study for Network Intrusion Detection SystemsTran Hoang Hai, Nguyen Trong Khiem, Nguyen Huu PhucIn recent years, Distributed Denial of Services (DDoS) attacks have caused significant losses to industry and government due to an increasing number of devices connected to the Internet. These devices use services-over-Internet more frequently with services characterized and provided seamlessly by 5G, Cloud and Edge Computing. According to Cisco Annual Internet Report, the frequency of DoS/DDoS attacks has increased more … …Journal of Computer Science, Vol. 17, Issue 3 · 30 Mar 2021 · 6,972 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleResearch on Security Protocol for Collaborating Mobile Agents in Network Intrusion Detection SystemsOlumide Simeon Ogunnusi, Shukor Abd RazakDespite the popularity of mobile agents in academic and commercial arena, the security issues associated with them have hindered their adoption on large scale distributed applications. However, researchers are making relentless effort to overcome the security impediments so that the interesting properties inherent in mobile agent application, especially in the field of intrusion detection, can be harnessed. Such properties include: … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 7 Nov 2013 · 6,702 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleReconfigurable Hardware Architecture for Network Intrusion Detection SystemA. Kaleel Rahuman, G. AthishaIntrusion rule processing in reconfigurable hardware enables intrusion detection and prevention. The use of reconfigurable hardware for network security applications has great strides as Field Programmable Gate Array (FPGA) devices have provided larger and faster resources. This proposes architecture called “BV-TCAM” is presented, which is implemented for an FPGA-based Network Intrusion Detection Systems (NIDS). The BV-TCAM architecture combines the Ternary … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 16 Aug 2012 · 6,981 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Novel Local Network Intrusion Detection System Based on Support Vector MachineMuamer N. Mohammad, Norrozila Sulaiman, Emad T. KhalafProblem statement: Past few years have witnessed a growing recognition of intelligent techniques for the construction of efficient and reliable Intrusion Detection Systems (IDS). Many methods and techniques were used for modeling the IDS, but some of them contribute little or not to resolve it. Approach: Intrusion detection system for local area network by using Support Vector Machines (SVM) was … …Journal of Computer Science, Vol. 7, Issue 10 · 6 Aug 2011 · 7,313 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFrom Feature Selection to Building of Bayesian Classifiers: A Network Intrusion Detection PerspectiveKok-Chin Khor, Choo-Yee Ting, Somnuk-Phon AmnuaisukProblem statement: Implementing a single or multiple classifiers that involve a Bayesian Network (BN) is a rising research interest in network intrusion detection domain. Approach: However, little attention has been given to evaluate the performance of BN classifiers before they could be implemented in a real system. In this research, we proposed a novel approach to select important features by … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 7,072 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn 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 accessPhrase in the titleImproving the Attack Detection Rate in Network Intrusion Detection using Adaboost AlgorithmP. Natesan, P. Balasubramanie, G. GowrisonProblem statement: Nowadays, the Internet plays an important role in communication between people. To ensure a secure communication between two parties, we need a security system to detect the attacks very effectively. Network intrusion detection serves as a major system to work with other security system to protect the computer networks. Approach: In this article, an Adaboost algorithm for network … …Journal of Computer Science, Vol. 8, Issue 7 · 16 May 2012 · 7,461 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleWIRELESS MESH NETWORK CROSS-LAYER INTRUSION DETECTIONF. S. Al-Anzi, S. KhanIntrusion is something which is unsolicited activity and which might be used to interrupt the functions of wireless network. If we talk about wireless networks, having centralized monitoring policy; therefore it is very much easy to detect and eliminate intrusions efficiently. But when we look forward to wireless scenario, especially in the multi hop wireless network, intrusion activities are more … …Journal of Computer Science, Vol. 10, Issue 12 · 23 Dec 2014 · 8,278 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHybrid of Fuzzy Clustering Neural Network Over NSL Dataset for Intrusion Detection SystemDahlia Asyiqin Ahmad Zainaddin, Zurina Mohd HanapiIntrusion Detection System (IDS) is one of the component that take part in the system defence, to identify abnormal activities happening in the computer system. Nowadays, IDS facing composite demands to defeat modern attack activities from damaging the computer systems. Anomaly-Based IDS examines ongoing traffic, activity, transactions and behavior in order to identify intrusions by detecting anomalies. These technique identifies … …Journal of Computer Science, Vol. 9, Issue 3 · 4 May 2013 · 6,574 accessesView PDFCite