A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI Model
Physical Protection System (PPS) is a crucial system for critical infrastructure to protect its vital information, and it is essential to analyze the vulnerability of PPS. Established methods for PPS vulnerability analysis mainly focus on one- and two-dimensional environments. However, the air and u...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10902123/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849709020909142016 |
|---|---|
| author | Aiguo Li Yanfeng Deng |
| author_facet | Aiguo Li Yanfeng Deng |
| author_sort | Aiguo Li |
| collection | DOAJ |
| description | Physical Protection System (PPS) is a crucial system for critical infrastructure to protect its vital information, and it is essential to analyze the vulnerability of PPS. Established methods for PPS vulnerability analysis mainly focus on one- and two-dimensional environments. However, the air and underwater threats are increasing, and more effective methods are needed to deal with these new threats than the existing methods. The security of the physical protection system in three-dimensional space needs to be analyzed. The most vulnerable path search is a critical link in the security assessment of the physical protection system, so this paper proposes a three-dimensional physical protection system based on the Estimate of Adversary Sequence Interruption (EASI) model of the most vulnerable path search method. A three-dimensional facility model is established, and the algorithm’s search points are reduced based on existing methods. The search efficiency is improved by restricting the intermediate points and the angle between the start and target points and improving the heuristic function. The improved algorithms are simulated and compared, and the results show that the paths generated by the improved algorithms are more reasonable, and the algorithms consume less time and have shorter path lengths. |
| format | Article |
| id | doaj-art-e9d049055dbe4632a6245da7b0362668 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-e9d049055dbe4632a6245da7b03626682025-08-20T03:15:27ZengIEEEIEEE Access2169-35362025-01-0113374573746610.1109/ACCESS.2025.354526410902123A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI ModelAiguo Li0https://orcid.org/0000-0003-1977-2636Yanfeng Deng1https://orcid.org/0009-0005-5614-9159College of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, ChinaCollege of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an, ChinaPhysical Protection System (PPS) is a crucial system for critical infrastructure to protect its vital information, and it is essential to analyze the vulnerability of PPS. Established methods for PPS vulnerability analysis mainly focus on one- and two-dimensional environments. However, the air and underwater threats are increasing, and more effective methods are needed to deal with these new threats than the existing methods. The security of the physical protection system in three-dimensional space needs to be analyzed. The most vulnerable path search is a critical link in the security assessment of the physical protection system, so this paper proposes a three-dimensional physical protection system based on the Estimate of Adversary Sequence Interruption (EASI) model of the most vulnerable path search method. A three-dimensional facility model is established, and the algorithm’s search points are reduced based on existing methods. The search efficiency is improved by restricting the intermediate points and the angle between the start and target points and improving the heuristic function. The improved algorithms are simulated and compared, and the results show that the paths generated by the improved algorithms are more reasonable, and the algorithms consume less time and have shorter path lengths.https://ieeexplore.ieee.org/document/10902123/Physical protection systemEASI modelmost vulnerable path search3D assessment methodology |
| spellingShingle | Aiguo Li Yanfeng Deng A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI Model IEEE Access Physical protection system EASI model most vulnerable path search 3D assessment methodology |
| title | A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI Model |
| title_full | A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI Model |
| title_fullStr | A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI Model |
| title_full_unstemmed | A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI Model |
| title_short | A 3D Most Vulnerable Path Search Method for Physical Protection Systems Based on the EASI Model |
| title_sort | 3d most vulnerable path search method for physical protection systems based on the easi model |
| topic | Physical protection system EASI model most vulnerable path search 3D assessment methodology |
| url | https://ieeexplore.ieee.org/document/10902123/ |
| work_keys_str_mv | AT aiguoli a3dmostvulnerablepathsearchmethodforphysicalprotectionsystemsbasedontheeasimodel AT yanfengdeng a3dmostvulnerablepathsearchmethodforphysicalprotectionsystemsbasedontheeasimodel AT aiguoli 3dmostvulnerablepathsearchmethodforphysicalprotectionsystemsbasedontheeasimodel AT yanfengdeng 3dmostvulnerablepathsearchmethodforphysicalprotectionsystemsbasedontheeasimodel |