ORaBaN: an optimized radial basis neuro framework for anomaly detection in large networks
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[1] N. Amma. A vector convolutional deep autonomous learning classifier for detection of cyber attacks , 2022 .
[2] N. Amma. A vector convolutional deep autonomous learning classifier for detection of cyber attacks , 2022, Cluster Computing.
[3] Waleed S. Alnumay,et al. Intrusion detection in cyber-physical environment using hybrid Naïve Bayes - Decision table and multi-objective evolutionary feature selection , 2022, Comput. Commun..
[4] Manuel López Martín,et al. Supervised contrastive learning over prototype-label embeddings for network intrusion detection , 2021, Inf. Fusion.
[5] Jawad Ahmad,et al. A New Ensemble-Based Intrusion Detection System for Internet of Things , 2021, Arabian Journal for Science and Engineering.
[6] Kakali Chatterjee,et al. An edge based hybrid intrusion detection framework for mobile edge computing , 2021, Complex & Intelligent Systems.
[7] Narayanavadivoo Gopinathan Bhuvaneswari Amma,et al. Anomaly detection framework for Internet of things traffic using vector convolutional deep learning approach in fog environment , 2020, Future Gener. Comput. Syst..
[8] Abdallah Shami,et al. Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection , 2020, IEEE Transactions on Network and Service Management.
[9] Bouabid El Ouahidi,et al. Hybrid intrusion detection system using machine learning , 2020, Netw. Secur..
[10] Ü. Çavusoglu,et al. A new hybrid approach for intrusion detection using machine learning methods , 2019, Applied Intelligence.
[11] Qi Shi,et al. A Deep Learning Approach to Network Intrusion Detection , 2018, IEEE Transactions on Emerging Topics in Computational Intelligence.
[12] Sean Carlisto de Alvarenga,et al. A survey of intrusion detection in Internet of Things , 2017, J. Netw. Comput. Appl..
[13] Lalu Banoth,et al. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection , 2017 .
[14] Moncef Gabbouj,et al. Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering , 2016, IEEE Transactions on Neural Networks and Learning Systems.
[15] T. Zseby,et al. Analysis of network traffic features for anomaly detection , 2015, Machine Learning.
[16] Jugal K. Kalita,et al. Network Anomaly Detection: Methods, Systems and Tools , 2014, IEEE Communications Surveys & Tutorials.
[17] Hao Yu,et al. Fast and Efficient Second-Order Method for Training Radial Basis Function Networks , 2012, IEEE Transactions on Neural Networks and Learning Systems.
[18] John McHugh,et al. Testing Intrusion detection systems: a critique of the 1998 and 1999 DARPA intrusion detection system evaluations as performed by Lincoln Laboratory , 2000, TSEC.
[19] Zhen Liu,et al. An Adaptive Ensemble Machine Learning Model for Intrusion Detection , 2019, IEEE Access.
[20] Brett J. Borghetti,et al. A Survey of Distance and Similarity Measures Used Within Network Intrusion Anomaly Detection , 2015, IEEE Communications Surveys & Tutorials.
[21] Manuel López-Ibáñez,et al. Ant colony optimization , 2010, GECCO '10.