A passenger risk assessment method based on 5G-IoT
Abstract For the airports worldwide, it is important to establish a "passenger integrity system" based on the basic information of passengers and their related credit system. Correspondingly, this paper develops a new risk assessment model for the passenger graded security check by introdu...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2021-01-01
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| Series: | EURASIP Journal on Wireless Communications and Networking |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13638-020-01886-z |
| _version_ | 1818648922472579072 |
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| author | Weishi Chen Yifeng Huang Hao Yang Jing Li Xianfeng Lu |
| author_facet | Weishi Chen Yifeng Huang Hao Yang Jing Li Xianfeng Lu |
| author_sort | Weishi Chen |
| collection | DOAJ |
| description | Abstract For the airports worldwide, it is important to establish a "passenger integrity system" based on the basic information of passengers and their related credit system. Correspondingly, this paper develops a new risk assessment model for the passenger graded security check by introducing several new technologies to obtain the passengers’ real-time status information as well as historical data. We first propose to deploy a variety of 5G-IoT devices to monitor the passengers in real time, including high-definition cameras, millimeter-wave security detectors, etc. We then rely on machine learning to analyze the passenger risk level and integrate improved analytic hierarchy process (AHP) with group decision theory, namely GD-AHP. According to the risk level, the passengers can be classified into known, ordinary and dangerous targets. The differentiated handling of different targets could significantly save the time of security check and improve the passenger experience. |
| first_indexed | 2024-12-17T01:26:07Z |
| format | Article |
| id | doaj.art-57ca598b4ed84880866d19bec0aa7fa5 |
| institution | Directory Open Access Journal |
| issn | 1687-1499 |
| language | English |
| last_indexed | 2024-12-17T01:26:07Z |
| publishDate | 2021-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Wireless Communications and Networking |
| spelling | doaj.art-57ca598b4ed84880866d19bec0aa7fa52022-12-21T22:08:41ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992021-01-012021112010.1186/s13638-020-01886-zA passenger risk assessment method based on 5G-IoTWeishi Chen0Yifeng Huang1Hao Yang2Jing Li3Xianfeng Lu4Airport Research Institute, China Academy of Civil Aviation Science and TechnologyAirport Research Institute, China Academy of Civil Aviation Science and TechnologyAirport Research Institute, China Academy of Civil Aviation Science and TechnologyAirport Research Institute, China Academy of Civil Aviation Science and TechnologyAirport Research Institute, China Academy of Civil Aviation Science and TechnologyAbstract For the airports worldwide, it is important to establish a "passenger integrity system" based on the basic information of passengers and their related credit system. Correspondingly, this paper develops a new risk assessment model for the passenger graded security check by introducing several new technologies to obtain the passengers’ real-time status information as well as historical data. We first propose to deploy a variety of 5G-IoT devices to monitor the passengers in real time, including high-definition cameras, millimeter-wave security detectors, etc. We then rely on machine learning to analyze the passenger risk level and integrate improved analytic hierarchy process (AHP) with group decision theory, namely GD-AHP. According to the risk level, the passengers can be classified into known, ordinary and dangerous targets. The differentiated handling of different targets could significantly save the time of security check and improve the passenger experience.https://doi.org/10.1186/s13638-020-01886-zRisk assessment5G-IoTMachine learningGraded security checkAnalytic hierarchy process (AHP)Group decision |
| spellingShingle | Weishi Chen Yifeng Huang Hao Yang Jing Li Xianfeng Lu A passenger risk assessment method based on 5G-IoT EURASIP Journal on Wireless Communications and Networking Risk assessment 5G-IoT Machine learning Graded security check Analytic hierarchy process (AHP) Group decision |
| title | A passenger risk assessment method based on 5G-IoT |
| title_full | A passenger risk assessment method based on 5G-IoT |
| title_fullStr | A passenger risk assessment method based on 5G-IoT |
| title_full_unstemmed | A passenger risk assessment method based on 5G-IoT |
| title_short | A passenger risk assessment method based on 5G-IoT |
| title_sort | passenger risk assessment method based on 5g iot |
| topic | Risk assessment 5G-IoT Machine learning Graded security check Analytic hierarchy process (AHP) Group decision |
| url | https://doi.org/10.1186/s13638-020-01886-z |
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