Name
Title | ||
|---|---|---|
A Gaussian process regression approach to predict the k-barrier coverage probability for intrusion detection in wireless sensor networks |
Abstract | ||
|---|---|---|
•Proposed three methods based on GPR to predict the k barrier coverage probability.•An experimental study to assess the performance of the proposed methods.•Comparative results show the outperform performance concerning other variants of SVR.•Presented methods can ameliorate the problem of unnecessary computing time and cost. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.eswa.2021.114603 | Expert Systems with Applications |
Keywords | DocType | Volume |
WSNs,GPR model,k-barrier coverage probability,Intrusion detection | Journal | 172 |
ISSN | Citations | PageRank |
0957-4174 | 2 | 0.36 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abhilash Singh | 1 | 13 | 3.15 |
| Jaiprakash Nagar | 2 | 13 | 2.85 |
| Sandeep Sharma | 3 | 13 | 2.73 |
| Vaibhav Kotiyal | 4 | 2 | 0.36 |