The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems
出版年份 2020 全文链接
标题
The Use of Ensemble Models for Multiple Class and Binary Class Classification for Improving Intrusion Detection Systems
作者
关键词
-
出版物
SENSORS
Volume 20, Issue 9, Pages 2559
出版商
MDPI AG
发表日期
2020-05-05
DOI
10.3390/s20092559
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Building an Effective Intrusion Detection System by Using Hybrid Data Optimization Based on Machine Learning Algorithms
- (2019) Jiadong Ren et al. Security and Communication Networks
- Improving the Classification Effectiveness of Intrusion Detection by Using Improved Conditional Variational AutoEncoder and Deep Neural Network
- (2019) Yanqing Yang et al. SENSORS
- Improvement in Hadoop performance using integrated feature extraction and machine learning algorithms
- (2019) C. K. Sarumathiy et al. SOFT COMPUTING
- An Efficient and Unique TF/IDF Algorithmic Model-Based Data Analysis for Handling Applications with Big Data Streaming
- (2019) Celestine Iwendi et al. Electronics
- An intrusion detection system based on combining probability predictions of a tree of classifiers
- (2018) Ahmed Ahmim et al. INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
- A machine learning approach for feature selection traffic classification using security analysis
- (2018) Muhammad Shafiq et al. JOURNAL OF SUPERCOMPUTING
- Anomaly-based intrusion detection system through feature selection analysis and building hybrid efficient model
- (2018) Shadi Aljawarneh et al. Journal of Computational Science
- On Detection of Sybil Attack in Large-Scale VANETs Using Spider-Monkey Technique
- (2018) Celestine Iwendi et al. IEEE Access
- Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis
- (2018) Agnieszka Wosiak et al. COMPLEXITY
- A novel weighted support vector machines multiclass classifier based on differential evolution for intrusion detection systems
- (2017) Abdulla Amin Aburomman et al. INFORMATION SCIENCES
- Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT
- (2017) Manuel Lopez-Martin et al. SENSORS
- Building an Intrusion Detection System Using a Filter-Based Feature Selection Algorithm
- (2016) Mohammed A. Ambusaidi et al. IEEE TRANSACTIONS ON COMPUTERS
- A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks
- (2016) Tao Ma et al. SENSORS
- Binarization With Boosting and Oversampling for Multiclass Classification
- (2016) Ayon Sen et al. IEEE Transactions on Cybernetics
- MARK-ELM: Application of a novel Multiple Kernel Learning framework for improving the robustness of Network Intrusion Detection
- (2015) John M. Fossaceca et al. EXPERT SYSTEMS WITH APPLICATIONS
- Feature Selection Using Particle Swarm Optimization in Intrusion Detection
- (2015) Iftikhar Ahmad International Journal of Distributed Sensor Networks
- Two-tier network anomaly detection model: a machine learning approach
- (2015) Hamed Haddad Pajouh et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Feature Selection Using Particle Swarm Optimization in Intrusion Detection
- (2015) Iftikhar Ahmad International Journal of Distributed Sensor Networks
- Hybrid intelligent systems for detecting network intrusions
- (2012) Mrutyunjaya Panda et al. Security and Communication Networks
- A novel intrusion detection system based on hierarchical clustering and support vector machines
- (2010) Shi-Jinn Horng et al. EXPERT SYSTEMS WITH APPLICATIONS
- Feature selection and classification in multiple class datasets: An application to KDD Cup 99 dataset
- (2010) V. Bolón-Canedo et al. EXPERT SYSTEMS WITH APPLICATIONS
- Adapted One-versus-All Decision Trees for Data Stream Classification
- (2008) S. Hashemi et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
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