This research paper addresses an efficient fuzzy clustering based algorithm for intrusion detection of a MANET implementation in a cloud storage environment.
This research paper addresses an efficient fuzzy clustering based algorithm for intrusion detection of a MANET implementation in a cloud storage environment.
Fuzzy related feature selection technique with Optimized classification is proposed in spite of selecting a large amount of attack data for detection of ...
FCM technique for efficient intrusion detection system for wireless networks in cloud environment ; ISSN/ISBN: 0044-216X ; 2018 · 10.1016/j.compeleceng.2017.10.011
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This paper proposes a novel intrusion detection system that combines a fuzzy c means clustering (FCM) algorithm with support vector machine (SVM)
This study presents a Machine Learning Efficient Intrusion Detection System (ML-EIDS) that integrates a Fuzzy C Means (FCM) clustering method with a Support ...
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Aug 21, 2024 · This study presents a Machine Learning EfficientIntrusion Detection System (ML-EIDS) that integrates a Fuzzy C Means (FCM) clustering methodwith ...
In this paper, we have proposed a cloud intrusion detection system (IDS) that is focused on boosting the classification accuracy by improving feature selection.
... intrusion detection in cloud computing using neural networks and particle swarm optimization algorithms. ... Training and Classification Techniques in Intrusion ...
We provide an effective optimal security solution for intrusion detection in a cloud computing environment using a hybrid deep learning algorithm in this study ...