Wireless Sensor Networks Intrusion Detection Based on SMOTE and the Random Forest Algorithm

An Intrusion Detection Model for Wireless Sensor Networks With an Improved V-Detector Algorithm

(2018) Ziwen Sun et al.   IEEE SENSORS JOURNAL

Improved Random Forest for Classification

(2018) Angshuman Paul et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Intrusion Detection System Based on Evolving Rules for Wireless Sensor Networks

(2018) Nannan Lu et al.   Journal of Sensors

Denial of Service Defence for Resource Availability in Wireless Sensor Networks

(2018) Opeyemi A. Osanaiye et al.   IEEE Access

Distributed Segment-Based Anomaly Detection With Kullback–Leibler Divergence in Wireless Sensor Networks

(2017) Miao Xie et al.   IEEE Transactions on Information Forensics and Security

Fingerprint localisation algorithm for noisy wireless sensor network based on multi-objective evolutionary model

(2017) Xuming Fang et al.   IET Communications

Generating realistic intrusion detection system dataset based on fuzzy qualitative modeling

(2017) W. Haider et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A Protocol Layer Trust-Based Intrusion Detection Scheme for Wireless Sensor Networks

(2017) Jian Wang et al.   SENSORS

Virtual-Lattice Based Intrusion Detection Algorithm over Actuator-Assisted Underwater Wireless Sensor Networks

(2017) Jing Yan et al.   SENSORS

Technical report: The design and evaluation of a basin-scale wireless sensor network for mountain hydrology

(2017) Ziran Zhang et al.   WATER RESOURCES RESEARCH

Fuzzy Based Advanced Hybrid Intrusion Detection System to Detect Malicious Nodes in Wireless Sensor Networks

(2017) Rupinder Singh et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Adaptive and Channel-Aware Detection of Selective Forwarding Attacks in Wireless Sensor Networks

(2016) Ju Ren et al.   IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

Anomalous query access detection in RBAC-administered databases with random forest and PCA

(2016) Charissa Ann Ronao et al.   INFORMATION SCIENCES

A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks

(2016) Tao Ma et al.   SENSORS

A Comparative Study of Anomaly Detection Techniques for Smart City Wireless Sensor Networks

(2016) Victor Garcia-Font et al.   SENSORS

Sink location privacy protection under direction attack in wireless sensor networks

(2016) Jian Wang et al.   WIRELESS NETWORKS

Energy-efficient data sensing and routing in unreliable energy-harvesting wireless sensor network

(2016) Ting Lu et al.   WIRELESS NETWORKS

On security of wireless sensor networks: a data authentication protocol using digital signature

(2016) Huei-Wen Ferng et al.   WIRELESS NETWORKS

An Efficient Hybrid Anomaly Detection Scheme Using K-Means Clustering for Wireless Sensor Networks

(2016) Mohammad Wazid et al.   WIRELESS PERSONAL COMMUNICATIONS

Segment-Based Anomaly Detection with Approximated Sample Covariance Matrix in Wireless Sensor Networks

(2015) Miao Xie et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

A new cluster-based oversampling method for improving survival prediction of hepatocellular carcinoma patients

(2015) Miriam Seoane Santos et al.   JOURNAL OF BIOMEDICAL INFORMATICS

An Intrusion Detection System Based on Multi-Level Clustering for Hierarchical Wireless Sensor Networks

(2015) Ismail Butun et al.   SENSORS

Big Data Analytics framework for Peer-to-Peer Botnet detection using Random Forests

(2014) Kamaldeep Singh et al.   INFORMATION SCIENCES

Imbalance-oriented SVM methods for financial distress prediction: a comparative study among the new SB-SVM-ensemble method and traditional methods

(2013) Jie Sun et al.   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Data security and privacy in wireless body area networks

(2010) Ming Li et al.   IEEE WIRELESS COMMUNICATIONS

Intrusion detection using fuzzy association rules

(2008) Arman Tajbakhsh et al.   APPLIED SOFT COMPUTING

Countering imbalanced datasets to improve adverse drug event predictive models in labor and delivery

(2008) L.M. Taft et al.   JOURNAL OF BIOMEDICAL INFORMATICS