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https://link.springer.com/chapter/10.1007/978-3-540-45235-5_73
This paper proposes a method of applying Support Vector Machines to network-based Intrusion Detection System (SVM IDS). Support vector machines(SVM) is a learning technique which has been successfully applied in many application areas. Intrusion detection can be considered as two-class classification problem or multi-class classification problem.Cited by: 143
https://www.researchgate.net/publication/292467230_Network-based_intrusion_detection_with_support_vector_machines
This paper proposes a method of applying Support Vector Machines to network-based Intrusion Detection System (SVM IDS). Support vector machines(SVM) is …
https://ieeexplore.ieee.org/abstract/document/5304051/
Sep 22, 2009 · However, the current network intrusion detection system generally suffers from less prior knowledge which then leads to poor generalizing ability. Network intrusion detection system based on support vector machine is endowed with favorable generalizing ability even with small sample size (less prior knowledge).
https://pdfs.semanticscholar.org/f60f/c271f451373196189398bac7d91429345217.pdf
Intrusion Detection System, Support Vector Machine. Keywords Support Vector Machines, k-nearest neighbor algorithm, Information Gain Ratio, feature ranking and selection, intrusion detection system. 1. INTRODUCTION With the advent and increased reach of information technology over the last few years, there have been significant
https://link.springer.com/chapter/10.1007/11527503_82
Network intrusion detection is an important technique in computer security. ... (PCA) and support vector machines (SVMs). By making use of PCA, the dimension of network data patterns is reduced significantly. ... An Adaptive Network Intrusion Detection Method Based on PCA and Support Vector Machines. In: Li X., Wang S., Dong Z.Y. (eds) Advanced ...Cited by: 10
https://link.springer.com/article/10.1007%2Fs00778-006-0002-5
Aug 31, 2006 · Misuse detection is used to identify intrusions that match known attack scenarios. Our interest here is in anomaly detection and our proposed method is a scalable solution for detecting network-based anomalies. We use Support Vector Machines (SVM) for classification.Cited by: 432
https://www.sciencedirect.com/science/article/pii/S0957417411009948
An efficient intrusion detection system based on support vector machines and gradually feature removal method. ... With the combination of clustering method, ant colony algorithm and support vector machine (SVM), an efficient and reliable classifier is developed to judge a network …Cited by: 246
https://ieeexplore.ieee.org/document/1007774/
May 17, 2002 · Using a set of benchmark data from a KDD (knowledge discovery and data mining) competition designed by DARPA, we demonstrate that efficient and accurate classifiers can be built to detect intrusions. We compare the performance of neural networks based, and support vector machine based, systems for intrusion detection.Cited by: 864
https://link.springer.com/article/10.1007/s11276-016-1439-0
Jan 09, 2017 · The main contribution of this paper is the integration of an IDS into MANETs as a reliable and potent solution. A new approach to intrusion detection is developed based on support vector machine algorithm. The proposed IDS can detect the DoS type attacks at a high detection rate with a simple structure and short computing time.Cited by: 23
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