Intrusion detection on internet of vehicles via combining log-ratio oversampling, outlier detection and metric learning

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