A Comparative Analysis of Machine Deep Learning Algorithms for Intrusion Detection in WSN
- 9 April 2021
- book chapter
- other
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- FDS: Fault Detection Scheme for Wireless Sensor NetworksWireless Personal Communications, 2015
- Probabilistic fault detector for Wireless Sensor NetworkExpert Systems with Applications, 2014
- Securing Ambient Agents Groups by Using Verification, Judgment and SurveillanceInternational Journal of Ambient Computing and Intelligence, 2013
- DoS Attacks in Mobile Ad Hoc Networks: A SurveyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Efficient BackPropLecture Notes in Computer Science, 2012
- Vehicular Networks SecurityInternational Journal of Ambient Computing and Intelligence, 2009
- Top 10 algorithms in data miningKnowledge and Information Systems, 2007
- ML-KNN: A lazy learning approach to multi-label learningPattern Recognition, 2007
- A multinomial logistic regression modeling approach for anomaly intrusion detectionComputers & Security, 2005
- A Taxonomy for Denial-of-Service Attacks in Wireless Sensor NetworksPublished by Taylor & Francis Ltd ,2004