Supervised Machine Learning Classification Algorithmic Approach for Finding Anomaly Type of Intrusion Detection in Wireless Sensor Network

被引:0
作者
S. S. Ashwini B. Abhale
机构
[1] D.Y. Patil College of Engineering and Technology,
[2] Vellore Institute of Technology,undefined
来源
Optical Memory and Neural Networks | 2020年 / 29卷
关键词
machine learning algorithm; classification; wireless sensor network; intrusion detection system; accuracy; performance matrix;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:244 / 256
页数:12
相关论文
共 66 条
[1]  
Carlos-Mancilla M.(2016)Wireless sensor networks formation: approaches and techniques J. Sens 2016 2081902-123
[2]  
López-Mellado E.(2016)Performance evaluation of supervised machine learning algorithms for intrusion detection Procedia Comput. Sci 89 117-48707
[3]  
Siller M.(2018)An intrusion detection system using a deep neural network with gated recurrent units IEEE Access 6 48697-41550
[4]  
Belavagi M.C.(2014)A new intrusion detection system based on KNN classification algorithm in wireless sensor network J. Electr. Comput. Eng 2014 240217-238
[5]  
Muniyal B.(2019)Deep learning approach for intelligent intrusion detection system IEEE Access 7 41525-172
[6]  
Xu C.(2012)A comparative performance evaluation of intrusion detection techniques for hierarchical wireless sensor networks Egypt. Inf. J. 13 225-50
[7]  
Shen J.(2014)Intrusion detection techniques in wireless sensor network using data mining algorithms: comparative evaluation based on attacks detection Int. J. Adv. Comput. Sci. Appl 6 164-2235
[8]  
Du X.(2014)Effective approach toward Intrusion Detection System using data mining techniques Egypt. Inf. J. 15 37-430
[9]  
Zhang F.(2011)Practical real-time intrusion detection using machine learning approaches Comput. Commun 34 2227-757
[10]  
Li W.(2012)An efficient intrusion detection system based on support vector machines and gradually feature removal method Expert Syst. Appl 39 424-141