Evaluation of Naïve Bayesian Algorithms for Cyber-Attacks Detection in Wireless Sensor Networks
Author:
Affiliation:
1. School of Electrical Engineering and Computer Science University of North Dakota,Grand Forks,ND,USA,58202
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9817098/9817144/09817298.pdf?arnumber=9817298
Reference25 articles.
1. A Comparative Study of Machine Learning Models for Cyber-attacks Detection in Wireless Sensor Networks
2. A Lightweight Multilayer Machine Learning Detection System for Cyber-attacks in WSN
3. Review the performance of the Bernoulli Naïve Bayes Classifier in Intrusion Detection Systems using Recursive Feature Elimination with Cross-validated selection of the best number of features
4. Predictive Analytics of Sensor Data Based on Supervised Machine Learning Algorithms
5. Detection DDOS Attacks Using Machine Learning Methods
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