A Gaussian Process Regression Approach to Predict the k-barrier Coverage Probability for Intrusion Detection in Wireless Sensor Networks

标题
A Gaussian Process Regression Approach to Predict the k-barrier Coverage Probability for Intrusion Detection in Wireless Sensor Networks
作者
关键词
WSNs, GPR model, k, -barrier coverage probability, Intrusion detection
出版物
EXPERT SYSTEMS WITH APPLICATIONS
Volume -, Issue -, Pages 114603
出版商
Elsevier BV
发表日期
2021-01-21
DOI
10.1016/j.eswa.2021.114603

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