A novel methodology assessment to study the performance of the physical protection system for enhancing the security of nuclear and other radioactive materials during transport
{"title":"A novel methodology assessment to study the performance of the physical protection system for enhancing the security of nuclear and other radioactive materials during transport","authors":"Amal Touarsi, Amina Kharchaf, Chakir El Mahjoub","doi":"10.1016/j.anucene.2025.111408","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a risk-informed model for securing radioactive materials during transport, integrating a real transport graph to simulate attack probabilities and response effectiveness. The model addresses the potential for adversarial attacks, including theft and sabotage, and evaluates the ability of the Physical Protection System (PPS) to detect, delay, and neutralize threats. Using a real-world transport network, we simulate the most plausible attack paths an adversary might take and assess the success probability of these attacks in relation to key system metrics: detection probability (<span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>d</mi></mrow></msub></math></span>), communication probability (<span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>c</mi></mrow></msub></math></span>), interruption probability (<span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>i</mi></mrow></msub></math></span>), and neutralization probability (<span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>n</mi></mrow></msub></math></span>). The model also considers the arrival time of the response force, as a critical factor influencing the overall security effectiveness. The transport graph represents the network of possible routes, critical locations, and access points, which are used to simulate adversary actions and response dynamics. Each edge in the graph represents a potential attack path, with associated probabilities for adversary success and system response. System effectiveness, <span><math><msub><mrow><mi>P</mi></mrow><mrow><mi>e</mi></mrow></msub></math></span>, is calculated by simulating realistic attack-response scenarios. Results highlight how optimized strategies reduce adversary success while enhancing response efficiency. Case studies demonstrate the model’s utility in securing radioactive materials and improving PPS designs to mitigate theft and sabotage risks.</div></div>","PeriodicalId":8006,"journal":{"name":"Annals of Nuclear Energy","volume":"219 ","pages":"Article 111408"},"PeriodicalIF":1.9000,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Nuclear Energy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0306454925002257","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NUCLEAR SCIENCE & TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents a risk-informed model for securing radioactive materials during transport, integrating a real transport graph to simulate attack probabilities and response effectiveness. The model addresses the potential for adversarial attacks, including theft and sabotage, and evaluates the ability of the Physical Protection System (PPS) to detect, delay, and neutralize threats. Using a real-world transport network, we simulate the most plausible attack paths an adversary might take and assess the success probability of these attacks in relation to key system metrics: detection probability (), communication probability (), interruption probability (), and neutralization probability (). The model also considers the arrival time of the response force, as a critical factor influencing the overall security effectiveness. The transport graph represents the network of possible routes, critical locations, and access points, which are used to simulate adversary actions and response dynamics. Each edge in the graph represents a potential attack path, with associated probabilities for adversary success and system response. System effectiveness, , is calculated by simulating realistic attack-response scenarios. Results highlight how optimized strategies reduce adversary success while enhancing response efficiency. Case studies demonstrate the model’s utility in securing radioactive materials and improving PPS designs to mitigate theft and sabotage risks.
期刊介绍:
Annals of Nuclear Energy provides an international medium for the communication of original research, ideas and developments in all areas of the field of nuclear energy science and technology. Its scope embraces nuclear fuel reserves, fuel cycles and cost, materials, processing, system and component technology (fission only), design and optimization, direct conversion of nuclear energy sources, environmental control, reactor physics, heat transfer and fluid dynamics, structural analysis, fuel management, future developments, nuclear fuel and safety, nuclear aerosol, neutron physics, computer technology (both software and hardware), risk assessment, radioactive waste disposal and reactor thermal hydraulics. Papers submitted to Annals need to demonstrate a clear link to nuclear power generation/nuclear engineering. Papers which deal with pure nuclear physics, pure health physics, imaging, or attenuation and shielding properties of concretes and various geological materials are not within the scope of the journal. Also, papers that deal with policy or economics are not within the scope of the journal.