LIO-IDS: Handling class imbalance using LSTM and improved one-vs-one technique in intrusion detection system
出版年份 2021 全文链接
标题
LIO-IDS: Handling class imbalance using LSTM and improved one-vs-one technique in intrusion detection system
作者
关键词
Cybersecurity, Network security, Network-based intrusion detection system (NIDS), Class imbalance problem, Long short-term memory (LSTM), Improved one-vs-one technique (I-OVO)
出版物
Computer Networks
Volume 192, Issue -, Pages 108076
出版商
Elsevier BV
发表日期
2021-04-07
DOI
10.1016/j.comnet.2021.108076
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。- Synthetic Minority Oversampling Technique for Optimizing Classification Tasks in Botnet and Intrusion-Detection-System Datasets
- (2020) David Gonzalez-Cuautle et al. Applied Sciences-Basel
- An Effective Convolutional Neural Network Based on SMOTE and Gaussian Mixture Model for Intrusion Detection in Imbalanced Dataset
- (2020) Hongpo Zhang et al. Computer Networks
- A survey and taxonomy of the fuzzy signature-based Intrusion Detection Systems
- (2020) Mohammad Masdari et al. APPLIED SOFT COMPUTING
- Building an efficient intrusion detection system based on feature selection and ensemble classifier
- (2020) Yuyang Zhou et al. Computer Networks
- A Semi-Boosted Nested Model With Sensitivity-Based Weighted Binarization for Multi-Domain Network Intrusion Detection
- (2019) Joseph W. Mikhail et al. ACM Transactions on Intelligent Systems and Technology
- Integration of an improved dynamic ensemble selection approach to enhance one-vs-one scheme
- (2018) Zhong-Liang Zhang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection
- (2018) Wei Wang et al. IEEE Access
- Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection
- (2018) Fadi Salo et al. Computer Networks
- Learning from class-imbalanced data: Review of methods and applications
- (2017) Guo Haixiang et al. EXPERT SYSTEMS WITH APPLICATIONS
- A method for multi-class sentiment classification based on an improved one-vs-one (OVO) strategy and the support vector machine (SVM) algorithm
- (2017) Yang Liu et al. INFORMATION SCIENCES
- A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
- (2016) Anna L. Buczak et al. IEEE Communications Surveys and Tutorials
- Taxonomy and Survey of Collaborative Intrusion Detection
- (2015) Emmanouil Vasilomanolakis et al. ACM COMPUTING SURVEYS
- DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems
- (2015) Mikel Galar et al. PATTERN RECOGNITION
- A survey of intrusion detection techniques for cyber-physical systems
- (2014) Robert Mitchell et al. ACM COMPUTING SURVEYS
- Multi-class AdaBoost
- (2013) Trevor Hastie et al. Statistics and Its Interface
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now