Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning
出版年份 2021 全文链接
标题
Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning
作者
关键词
Network intrusion detection, IoV, Class imbalance, Outlier detection, Oversampling, Distance metric learning
出版物
INFORMATION SCIENCES
Volume 579, Issue -, Pages 814-831
出版商
Elsevier BV
发表日期
2021-08-05
DOI
10.1016/j.ins.2021.08.010
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。- An efficient feature reduction method for the detection of DoS attack
- (2021) Deepak Kshirsagar et al. ICT Express
- Transfer Learning based Intrusion Detection Scheme for Internet of Vehicles
- (2020) Xinghua Li et al. INFORMATION SCIENCES
- Data-Driven Network Intelligence for Anomaly Detection
- (2019) Shengjie Xu et al. IEEE NETWORK
- Intelligent approach to build a Deep Neural Network based IDS for cloud environment using combination of machine learning algorithms
- (2019) Zouhair Chiba et al. COMPUTERS & SECURITY
- An integrated rule based intrusion detection system: analysis on UNSW-NB15 data set and the real time online dataset
- (2019) Vikash Kumar et al. Cluster Computing-The Journal of Networks Software Tools and Applications
- Internet of Things Meets Vehicles: Sheltering In-Vehicle Network through Lightweight Machine Learning
- (2019) Junchao Xiao et al. Symmetry-Basel
- A hybrid deep learning model for efficient intrusion detection in big data environment
- (2019) Mohammad Mehedi Hassan et al. INFORMATION SCIENCES
- A survey on internet of vehicles: Applications, security issues & solutions
- (2019) Surbhi Sharma et al. Vehicular Communications
- A Blockchain-SDN-Enabled Internet of Vehicles Environment for Fog Computing and 5G Networks
- (2019) Jianbin Gao et al. IEEE Internet of Things Journal
- Dendron : Genetic trees driven rule induction for network intrusion detection systems
- (2018) Dimitrios Papamartzivanos et al. Future Generation Computer Systems-The International Journal of eScience
- Study of the impact of resampling methods for contrast pattern based classifiers in imbalanced databases
- (2016) Octavio Loyola-González et al. NEUROCOMPUTING
- Data Randomization and Cluster-Based Partitioning for Botnet Intrusion Detection
- (2016) Omar Y. Al-Jarrah et al. IEEE Transactions on Cybernetics
- SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering
- (2015) José A. Sáez et al. INFORMATION SCIENCES
- RAMOBoost: Ranked Minority Oversampling in Boosting
- (2010) Sheng Chen et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAdd 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 Now