Anomaly detection method for vehicular network based on collaborative deep support vector data description

LPPTE: A lightweight privacy-preserving trust evaluation scheme for facilitating distributed data fusion in cooperative vehicular safety applications

(2021) Zhiquan Liu et al.   Information Fusion

A novel IoT network intrusion detection approach based on Adaptive Particle Swarm Optimization Convolutional Neural Network

(2021) Xiu Kan et al.   INFORMATION SCIENCES

VAE-based Deep SVDD for anomaly detection

(2021) Yu Zhou et al.   NEUROCOMPUTING

Distributed collaborative intrusion detection system for vehicular Ad Hoc networks based on invariant

(2020) Man Zhou et al.   Computer Networks

Outlier Detection Approaches Based on Machine Learning in the Internet-of-Things

(2020) Jinfang Jiang et al.   IEEE WIRELESS COMMUNICATIONS

BTMPP: Balancing Trust Management and Privacy Preservation for Emergency Message Dissemination in Vehicular Networks

(2020) Zhiquan Liu et al.   IEEE Internet of Things Journal

Interactive three-dimensional visualization of network intrusion detection data for machine learning

(2019) Wei Zong et al.   Future Generation Computer Systems-The International Journal of eScience

Generalized support vector data description for anomaly detection

(2019) Mehmet Turkoz et al.   PATTERN RECOGNITION

Deep Learning-Based Feature Representation and Its Application for Soft Sensor Modeling With Variable-Wise Weighted SAE

(2018) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

HAST-IDS: Learning Hierarchical Spatial-Temporal Features Using Deep Neural Networks to Improve Intrusion Detection

(2018) Wei Wang et al.   IEEE Access

Self-adaptive SVDD integrated with AP clustering for one-class classification

(2016) Tong Wu et al.   PATTERN RECOGNITION LETTERS

Abnormal traffic-indexed state estimation: A cyber–physical fusion approach for Smart Grid attack detection

(2015) Ting Liu et al.   Future Generation Computer Systems-The International Journal of eScience

Network Anomaly Detection: Methods, Systems and Tools

(2013) Monowar H. Bhuyan et al.   IEEE Communications Surveys and Tutorials

Enhancing SVM performance in intrusion detection using optimal feature subset selection based on genetic principal components

(2013) Iftikhar Ahmad et al.   NEURAL COMPUTING & APPLICATIONS

The use of artificial intelligence based techniques for intrusion detection: a review

(2010) Gulshan Kumar et al.   ARTIFICIAL INTELLIGENCE REVIEW

Support Vector Machines for classification and regression

(2009) Richard G. Brereton et al.   ANALYST

Random-Forests-Based Network Intrusion Detection Systems

(2008) Jiong Zhang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE