标题
MLEsIDSs: machine learning-based ensembles for intrusion detection systems—a review
作者
关键词
-
出版物
JOURNAL OF SUPERCOMPUTING
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-02-12
DOI
10.1007/s11227-020-03196-z
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。- A Stacking Ensemble for Network Intrusion Detection Using Heterogeneous Datasets
- (2020) Smitha Rajagopal et al. Security and Communication Networks
- Hybrid Intrusion Detection System Based on the Stacking Ensemble of C5 Decision Tree Classifier and One Class Support Vector Machine
- (2020) Ansam Khraisat et al. Electronics
- A survey of network-based intrusion detection data sets
- (2019) Markus Ring et al. COMPUTERS & SECURITY
- En-ABC: An ensemble artificial bee colony based anomaly detection scheme for cloud environment
- (2019) Sahil Garg et al. JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING
- ANID-SEoKELM: Adaptive network intrusion detection based on selective ensemble of kernel ELMs with random features
- (2019) Jinping Liu et al. KNOWLEDGE-BASED SYSTEMS
- A study on supervised machine learning algorithm to improvise intrusion detection systems for mobile ad hoc networks
- (2018) S. Vimala et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- UGR‘16: A new dataset for the evaluation of cyclostationarity-based network IDSs
- (2018) Gabriel Maciá-Fernández et al. COMPUTERS & SECURITY
- Network Anomaly Detection System using Genetic Algorithm and Fuzzy Logic
- (2018) Anderson Hiroshi Hamamoto et al. EXPERT SYSTEMS WITH APPLICATIONS
- A systematic review on intrusion detection based on the Hidden Markov Model
- (2018) Ali Ahmadian Ramaki et al. Statistical Analysis and Data Mining
- Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems
- (2017) Douglas Rodrigues et al. EXPERT SYSTEMS
- A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems
- (2017) Salma Elhag et al. SOFT COMPUTING
- A novel SVM-kNN-PSO ensemble method for intrusion detection system
- (2016) Abdulla Amin Aburomman et al. APPLIED SOFT COMPUTING
- A Semantic Approach to Host-Based Intrusion Detection Systems Using Contiguousand Discontiguous System Call Patterns
- (2013) Gideon Creech et al. IEEE TRANSACTIONS ON COMPUTERS
- Enhancing False Alarm Reduction Using Voted Ensemble Selection in Intrusion Detection
- (2013) Yuxin Meng et al. International Journal of Computational Intelligence Systems
- Toward developing a systematic approach to generate benchmark datasets for intrusion detection
- (2012) Ali Shiravi et al. COMPUTERS & SECURITY
- Adaptive ROC-based ensembles of HMMs applied to anomaly detection
- (2011) Wael Khreich et al. PATTERN RECOGNITION
- The use of artificial intelligence based techniques for intrusion detection: a review
- (2010) Gulshan Kumar et al. ARTIFICIAL INTELLIGENCE REVIEW
- Intrusion detection using neural based hybrid classification methods
- (2010) M. Govindarajan et al. Computer Networks
- A new approach to intrusion detection using Artificial Neural Networks and fuzzy clustering
- (2010) Gang Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- An ensemble-based evolutionary framework for coping with distributed intrusion detection
- (2010) Gianluigi Folino et al. Genetic Programming and Evolvable Machines
- Integration of heterogeneous data sources for gene function prediction using decision templates and ensembles of learning machines
- (2010) Matteo Re et al. NEUROCOMPUTING
- Iterative Boolean combination of classifiers in the ROC space: An application to anomaly detection with HMMs
- (2010) Wael Khreich et al. PATTERN RECOGNITION
- Ensemble-based classifiers
- (2009) Lior Rokach ARTIFICIAL INTELLIGENCE REVIEW
- Troika – An improved stacking schema for classification tasks
- (2009) Eitan Menahem et al. INFORMATION SCIENCES
- Improving malware detection by applying multi-inducer ensemble
- (2008) Eitan Menahem et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Evolving artificial neural network ensembles
- (2008) Xin Yao et al. IEEE Computational Intelligence Magazine
- AdaBoost-Based Algorithm for Network Intrusion Detection
- (2008) Weiming Hu et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
- A ‘No Panacea Theorem’ for classifier combination
- (2008) Roland Hu et al. PATTERN RECOGNITION
- Design of multiple-level hybrid classifier for intrusion detection system using Bayesian clustering and decision trees
- (2008) Cheng Xiang et al. PATTERN RECOGNITION LETTERS
- Consistent probabilistic outputs for protein function prediction
- (2008) Guillaume Obozinski et al. GENOME BIOLOGY
- Predicting gene function in a hierarchical context with an ensemble of classifiers
- (2008) Yuanfang Guan et al. GENOME BIOLOGY
- Data-driven decomposition for multi-class classification
- (2007) Jie Zhou et al. PATTERN RECOGNITION
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