| Title | Test Method for Automatic Detection Capability of Civil Aviation Security Equipment Using Bayesian Estimation |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Xie, J., She, H., Chen, X., Zhang, H., Niu, Y. |
| Conference Name | 2020 IEEE 2nd International Conference on Civil Aviation Safety and Information Technology (ICCASIT |
| Date Published | oct |
| Keywords | Bayes methods, Bayesian estimation, belief networks, civil aviation security equipment, Cyber-physical systems, detection rate, Estimation, false alarm rate, information technology, Markov processes, Monte Carlo methods, prohibited items, pubcrawl, Resiliency, Safety, security |
| Abstract | There are a lot of emerging security equipment required to be tested on detection rate (DR) and false alarm rate (FAR) for prohibited items. This article imports Bayesian approach to accept or reject DR and FAR. The detailed quantitative predictions can be made through the posterior distribution obtained by Markov chain Monte Carlo method. Based on this, HDI + ROPE decision rule is established. For the tests that need to make early decision, HDI + ROPE stopping rule is presented with biased estimate value, and criterial precision rule is presented with unbiased estimate value. Choosing the stopping rule according to the test purpose can achieve the balance of efficiency and accuracy. |
| DOI | 10.1109/ICCASIT50869.2020.9368652 |
| Citation Key | xie_test_2020 |
Test Method for Automatic Detection Capability of Civil Aviation Security Equipment Using Bayesian Estimation