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85 results for “Intrusion Detection”
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Research ArticleOpen accessPhrase in the titleEfficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection SystemVamshi Krishna Kapu, Ganesh Reddy KarriThe vehicle manufacturing hub has evolved over the last decade with the emergence of self-driving vehicles and human-driven vehicles that use the concept of Artificial Intelligence (AI). Vehicular Ad Hoc Network (VANET) is a subset of Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with one another and the Road Side Unit (RSU). VANET has been a game … …Journal of Computer Science, Vol. 19, Issue 9 · 26 Aug 2023 · 5,746 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Comparison Study between Different Sampling Strategies for Intrusion Detection System of Active Learning ModelGhofran Mohammad Alqaralleh, Mohammad Aref Alshraideh, Ali AlrodanActive learning aims to train an accurate model with minimum cost by labeling the most informative instances without compromising the model performance. So, choosing an efficient criterion for instance selection is the most important step. Sampling stage is the main issue in active learning for many problems such as intrusion detection system. There are many methods for sampling stage to … …Journal of Computer Science, Vol. 14, Issue 8 · 26 Aug 2018 · 8,183 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMULTI SCALE TIME SERIES PREDICTION FOR INTRUSION DETECTIONG. Palanivel, K. DuraiswamyWe propose an anomaly-based network intrusion detection system, which analyzes traffic features to detect anomalies. The proposed system can be used both in online as well as off-line mode for detecting deviations from the expected behavior. Although our approach uses network packet or flow data, it is general enough to be adaptable for use with any other network variable, which … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 27 Jun 2014 · 6,776 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHYBRID 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
Research ArticleOpen accessPhrase in the titleA MOBILE AGENT BASED INTRUSION DETECTION SYSTEM ARCHITECTURE FOR MOBILE AD HOC NETWORKSBinod Kumar Pattanayak, Mamata RathApplications of Mobile Ad Hoc Networks (MANETs) have become extensively popular over the years among the researchers. However, the dynamic nature of MANETs imposes a set of challenges to its efficient implementation in practice. One of such challenges represents intrusion detection and prevention procedures that are intended to provide secured performance of ad hoc applications. In this study, we introduce … …Journal of Computer Science, Vol. 10, Issue 6 · 28 Jan 2014 · 7,267 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Role of Intrusion Detection System for Wireless Lan Using Various Schemes and Related IssuesKamalanaban Ethala, R. Seshadri, N. G. Renganathan, M. S. SaravananThe advancement in network based technology and augmented dependability of our everyday life on this technology. During recent years, number of attacks on networks has intensely increased. Hence interest in network intrusion detection has increased among the researchers. This study assesses different kinds of IDS and inclines preemptive procedures. An Intrusion Detection System (IDS) is used to automate the intrusion … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 7,166 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleEffect of Clustering in Designing a Fuzzy Based Hybrid Intrusion Detection System for Mobile Ad Hoc NetworksD. Vydeki, R. S. BhuvaneswaranIntrusion Detection System (IDS) provides additional security for the most vulnerable Mobile Adhoc Networks (MANET). Use of Fuzzy Inference System (FIS) in the design of IDS is proven to be efficient in detecting routing attacks in MANETs. Clustering is a vital means in the detection process of FIS based hybrid IDS. This study describes the design of such a system … …Journal of Computer Science, Vol. 9, Issue 4 · 14 May 2013 · 6,469 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleResearch Proposal: An Intrusion Detection System Alert Reduction and Assessment Framework Based on Data MiningKarim Al-Saedi, Selvakumar Manickam, Sureswaran Ramadass et al.The Intrusion Detection System (IDS) generates huge amounts of alerts that are mostly false positives. The abundance of false positive alerts makes it difficult for the security analyst to identify successful attacks and to take remedial actions. Such alerts to have not been classified in accordance with their degree of threats. They further need to be processed to ascertain the … …Journal of Computer Science, Vol. 9, Issue 4 · 8 May 2013 · 7,709 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAmelioration 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 accessPhrase in the titleOnline 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