LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the <i>k</i>-Barriers for Intrusion Detection Using Wireless Sensor Network.

Singh, Abhilash; Amutha, J; Nagar, Jaiprakash; Sharma, Sandeep; Lee, Cheng-Chi

LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using Wireless Sensor Network.

Singh, Abhilash; Amutha, J; Nagar, Jaiprakash; Sharma, Sandeep; Lee, Cheng-Chi.

Afiliação

Singh A; Fluvial Geomorphology and Remote Sensing Laboratory, Indian Institute of Science Education and Research Bhopal, Bhopal 462066, India.
Amutha J; Department of Electronics and Communication Engineering, School of ICT, Gautam Buddha University, Greater Noida 201312, India.
Nagar J; Subir Chowdhury School of Quality and Reliability, Indian Institute of Technology, Kharagpur 721302, India.
Sharma S; Department of Electronics Engineering, Madhav Institute of Technology and Science, Gwalior 474005, India.
Lee CC; Department of Library and Information Science, Research and Development Center for Physical Education, Health, and Information Technology, Fu Jen Catholic University, New Taipei 242, Taiwan.

Sensors (Basel) ; 22(3)2022 Jan 29.

Article em En | MEDLINE | ID: mdl-35161815

Assuntos

Algoritmos; Aprendizado de Máquina; Redes Neurais de Computação; Distribuição Normal; Máquina de Vetores de Suporte

Palavras-chave

WSNs; feature learning; intrusion detection; machine learning; support vector regression

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Aprendizado de Máquina Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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