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Intrusions detection based on Support Vector Machine optimized with swarm intelligence
Intrusion Detection Systems(IDS) have become a necessary component of almost every security infrastructure. Recently, Support Vector Machines (SVM) has ...
文献获取Research on EEG Signal Recognition Method Based on Whale Algorithm Optimized Support Vector Machine
Aiming at the low recognition and classification of motor imagery EEG signals, a pattern recognition method based on support vector machine (SVM) optimized by whale algorithm is proposed. Firstly, band-pass filter is used to preproces...
Analysis on: Intrusions Detection Based On Support Vector Machine Optimized with Swarm Intelligence
This Intrusion detection system has become popular security intelligence component to provide security with capability of detecting attacks and patterns...
Dam Deformation Prediction Based on Modified Grey Wolf Optimization Algorithm and Support Vector Machine
The establishing of an accurate and reliable dam deformation prediction model is an important content of dam safety evaluation. To this end, a dam deformation prediction method based on support vector machine (SVM) with optimal parame...
The Research on Anti-interference Technology for Network of Optimized Support Vector Machine Based on Genetic Algorithm
The essay researches on the abnormal detection optimization issue for network. As for the diversity of abnormal phenomena in the Internet, the traditional support vector machine algorithm for network anomaly detection problem is diffi...
Research on Intrusion Detection Based on an Enhanced Random Forest Algorithm
To address the challenges posed by high data dimensionality and class imbalance during intrusion detection, which result in increased computational comp...
Efficient Fault Detection in WSN Based on PCA-Optimized Deep Neural Network Slicing Trained with GOA
This study proposes a novel hybrid method combining Principal Component Analysis (PCA) with a DNN optimized by the Grasshopper Optimization Algorithm (GOA) to address these limitations. Our approach begins by computing eigenvalues fro...
Hybrid intrusion detection models based on GWO optimized deep learning
In the rapidly evolving landscape of network communication systems, the need for robust security measures has become paramount due to increased vulnerab...
Research on SVDD Network Intrusion Detection of the Optimal Feature Selection for Particle Swarm
Focusing on the problem about the higher dimensionality of sample set in the intrusion detection, propose an optimized method of support vector data des...
Research on SVDD Network Intrusion Detection of the Optimal Feature Selection for Particle Swarm
Focusing on the problem about the higher dimensionality of sample set in the intrusion detection, propose an optimized method of support vector data des...
