Airports are fast-growing dynamic infrastructure assets. For example, the Canadian airport industry is growing by 5% annually and generates about $8 billion yearly. Since the 9/11 tragedy, airport security has been of paramount importance both in Canada and worldwide. Consequently, in 2002, in the wake of the attacks, the International Civil Aviation Organization (ICAO) put into force revised aviation security standards and recommended practices, and began a Universal Security Audit Program (USAP), in order to insure the worldwide safeguarding of civil aviation in general, and of airports in particular, against unlawful interference. To improve aviation security at both the national level and for individual airport, airport authorities in North America have initiated extensive programs to help quantify, detect, deter, and mitigate security risk. At the research level, a number of studies have examined scenarios involving threats to airports, the factors that contribute to airport vulnerability, and decision support systems for security management. However, more work is still required in the area of developing decision support tools that can assist airport officials in meeting the challenges associated with decision about upgrades; determining the status of their security systems and efficiently allocating financial resources to improve them to the level required. To help airport authorities make cost-effective decisions about airport security upgrades, this research has developed a risk-based optimization framework. The framework assists airport officials in quantitatively assessing the status of threats to their airports, the vulnerability to their security systems, and the consequences of security breaches. A key element of this framework is a new quantitative security metric ; the aim of which is to assist airport authorities self-assess the condition of their security systems, and to produce security risk indices that decision makers can use as prioritizing criteria and constraints when meeting decisions about security upgrades. These indices have been utilized to formulate an automated decision support system for upgrading security systems in airports. Because they represent one of the most important security systems in an airport, the research focuses on passenger and cabin baggage screening systems. Based on an analysis of the related threats, vulnerabilities and consequences throughout the flow of passengers, cabin baggage, and checked-in luggage, the proposed framework incorporates an optimization model for determining the most cost-effective countermeasures that can minimize security risks. For this purpose, the framework first calculates the level of possible improvement in security using a new risk metric. Among the important features of the framework is the fact that it allows airport officials to perform multiple “what-if” scenarios, to consider the limitations of security upgrade budgets, and to incorporate airport-specific requirements. Based on the received positive feedback from two actual airports, the framework can be extended to include other facets of security in airports, and to form a comprehensive asset management system for upgrading security at both single and multiple airports. From a broader perspective, this research contributes to the improvement of security in a major transportation sector that has an enormous impact on economic growth and on the welfare of regional, national and international societies.

Airports are fast-growing dynamic infrastructure assets. For example, the Canadian airport industry is growing by 5% annually and generates about $8 billion yearly. Since the 9/11 tragedy, airport security has been of paramount importance both in Canada and worldwide. Consequently, in 2002, in the wake of the attacks, the International Civil Aviation Organization (ICAO) put into force revised aviation security standards and recommended practices, and began a Universal Security Audit Program (USAP), in order to insure the worldwide safeguarding of civil aviation in general, and of airports in particular, against unlawful interference. To improve aviation security at both the national level and for individual airport, airport authorities in North America have initiated extensive programs to help quantify, detect, deter, and mitigate security risk. At the research level, a number of studies have examined scenarios involving threats to airports, the factors that contribute to airport vulnerability, and decision support systems for security management. However, more work is still required in the area of developing decision support tools that can assist airport officials in meeting the challenges associated with decision about upgrades; determining the status of their security systems and efficiently allocating financial resources to improve them to the level required. To help airport authorities make cost-effective decisions about airport security upgrades, this research has developed a risk-based optimization framework. The framework assists airport officials in quantitatively assessing the status of threats to their airports, the vulnerability to their security systems, and the consequences of security breaches. A key element of this framework is a new quantitative security metric ; the aim of which is to assist airport authorities self-assess the condition of their security systems, and to produce security risk indices that decision makers can use as prioritizing criteria and constraints when meeting decisions about security upgrades. These indices have been utilized to formulate an automated decision support system for upgrading security systems in airports. Because they represent one of the most important security systems in an airport, the research focuses on passenger and cabin baggage screening systems. Based on an analysis of the related threats, vulnerabilities and consequences throughout the flow of passengers, cabin baggage, and checked-in luggage, the proposed framework incorporates an optimization model for determining the most cost-effective countermeasures that can minimize security risks. For this purpose, the framework first calculates the level of possible improvement in security using a new risk metric. Among the important features of the framework is the fact that it allows airport officials to perform multiple “what-if” scenarios, to consider the limitations of security upgrade budgets, and to incorporate airport-specific requirements. Based on the received positive feedback from two actual airports, the framework can be extended to include other facets of security in airports, and to form a comprehensive asset management system for upgrading security at both single and multiple airports. From a broader perspective, this research contributes to the improvement of security in a major transportation sector that has an enormous impact on economic growth and on the welfare of regional, national and international societies.

The Federal Aviation Administration (FAA) wishes to minimize the overall operational costs of their aviation security detection systems. These systems consist of a collection of security devices. The objective of this research is to develop an algorithm to design the optimal system of devices. The Secure Air Flight Effectiveness (SAFE) Model accomplishes this objective by using the probability of detection and the probability of giving a false alarm for each individual device. A Generalized Hill Climbing (GHC) algorithm was implemented to identify the system with the minimum operational cost. Suggestions for future research directions are also included. / Master of Science

Designers, operators, and users of multiple-device, access control security systems are challenged by the false alarm, false clear tradeoff. Given a particular access control security system, and a prespecified false clear standard, there is an optimal (minimal) false alarm rate that can be achieved. The objective of this research is to develop methods that can be used to determine this false alarm rate. Meeting this objective requires knowledge of the joint conditional probability density functions for the security device responses. Two sampling procedures, the static grid estimation procedure and the dynamic grid estimation procedure, are proposed to estimate these functions. The concept of a system response function is introduced and the problem of determining the optimal system response function that minimizes the false alarm rate, while meeting the false clear standard, is formulated as a decision problem and proven to be NP-complete. Two heuristic procedures, the Greedy algorithm and the Dynamic Programming algorithm, are formulated to address this problem. Computational results using simulated security data are reported. These results are compared to analytical results, obtained for a prespecified system response function form. Suggestions for future research are also included. / Master of Science

This thesis describes the development of a multi-sensor, multi-energy x-ray prototype for automated explosives detection. The system is based on the American Science and Engineering model 101ZZ x-ray system. The 101ZZ unit received was an early model and lacked documentation of the many specialized electronic components. X-ray image quality was poor. The system was significantly modified and almost all AS&E system electronics bypassed: the x-ray source controller and conveyor belt motor were made computer controllable; the x-ray detectors were re-positioned to provide forward scatter detection capabilities; new hardware was developed to interface to the AS&E pre-amplifier boards, to collect image data from all three x-ray detectors, and to transfer the data to a personal computer. This hardware, the Differential Pair Interface Board (DPIB), is based on a Field Programmable Gate Array (FPGA) and can be dynamically re-configured to serve as a general purpose data collection device in a variety of applications. Software was also developed for the prototype system. A Windows NT device driver was written for the DPIB and a custom bus master DMA collection device. These drivers are portable and can be used as a basis for the development of other Windows NT drivers. A graphical user interface (GUI) was also developed. The GUI automates the data collection tasks and controls all the prototype system components. It interfaces with the image processing software for explosives detection and displays the results. Suspicious areas are color coded and presented to the operator for further examination. / Master of Science

Submitted by admin tede (tede@pucgoias.edu.br) on 2017-06-29T18:12:20Z No. of bitstreams: 1 LUIZ ANTONIO FIGUEIREDO.pdf: 5501025 bytes, checksum: 98fb8b800c62427de5e93d93791120c3 (MD5) / Made available in DSpace on 2017-06-29T18:12:20Z (GMT). No. of bitstreams: 1 LUIZ ANTONIO FIGUEIREDO.pdf: 5501025 bytes, checksum: 98fb8b800c62427de5e93d93791120c3 (MD5) Previous issue date: 2017-03-09 / Due to the growth of the amount of air transport travelers around the world, it is necessary to deploy an efficient control of the passenger flow in the internal processes of the airport terminals. Like every public place, airport terminals have always been vulnerable to all kinds of crimes. In addition, terminal security concerns not only encompass the fight against acts of terrorism, but also involve problems that may adversely influence the operations of the airport. This work aims to present a model, based on computational simulation of passenger service process from a safety inspection of the airport terminal of Goiânia. It was develop a combined method, based on a quantitative method to deal with measurable elements with a qualitative method to assess the complexity of the problem analyzed. Through the simulation, using Flexsim software it was modelled the inspection system of an airport security, leading to conclusions that the characteristics of passengers directly influence the processing times in the system. In this regard, it was noted the lack of information regarding the procedures that passengers should adopt in relation to their belongings and clothing during the crossing of the airport security system. / Devido ao crescimento da quantidade de viajantes no transporte aéreo em todo o mundo, faz-se necessário implantar um controle eficiente do fluxo de passageiros nos processos internos dos terminais aeroportuários. Como todo local público, os terminais aeroportuários sempre são vulneráveis a todos os tipos de crimes. Além disso, as preocupações da segurança do terminal não englobam somente a luta contra atos de terrorismo, mas também problemas que podem influenciar negativamente as operações do aeroporto. Nesse contexto, este trabalho tem o objetivo de apresentar um modelo, baseado na simulação computacional, do processo de atendimento de passageiros do ponto de inspeção de segurança do terminal aeroportuário de Goiânia. Para atingir seus objetivos foi construído um método combinado, de natureza quantitativa para lidar com elementos mensuráveis do processo de inspeção de segurança, com uma análise qualitativa, destinada a avaliar mais profundamente a complexidade do problema. Através da simulação realizada no software Flexsim, foram obtidos resultados estatísticos de desempenho do sistema de inspeção de segurança do aeroporto, permitindo concluir que as características dos passageiros influenciam diretamente os tempos de processamento no sistema. Nesse sentido, foi constatada a falta de informações a respeito dos procedimentos que os passageiros devem adotar em relação aos seus pertences e vestimentas durante o atravessamento no processo de inspeção.

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Detection systems are widely used in industry. Designers, operators and users of these systems need to choose an appropriate design, based on the intended usage and the operating environment. The purpose of this research is to analyze the effect of various system design variables (controllable) and system parameters (uncontrollable) on the performance of detection systems. To optimize system performance one must manage the tradeoff between two errors that can occur. A False Alarm occurs if the detection system falsely indicates a target is present and a False Clear occurs if the detection system falsely fails to indicate a target is present. Given a particular detection system and a pre-specified false clear (or false alarm) rate, there is a minimal false alarm (or false clear) rate that can be achieved. Earlier research has developed methods that address this false alarm, false clear tradeoff problem (FAFCT) by formulating a Neyman-Pearson hypothesis problem, which can be solved as a Knapsack problem. The objective of this research is to develop guidelines that can be of help in designing detection systems. For example, what system design variables must be implemented to achieve a certain false clear standard for a parallel 2-sensor detection system for Salmonella detection? To meet this objective, an experimental design is constructed and an analysis of variance is performed. Computational results are obtained using the FAFCT-methodology and the results are presented and analyzed using ROC (Receiver Operating Characteristic) curves and an analysis of variance. The research shows that sample size (i.e., size of test data set used to estimate the distribution of sensor responses) has very little effect on the FAFCT compared to other factors. The analysis clearly shows that correlation has the most influence on the FAFCT. Negatively correlated sensor responses outperform uncorrelated and positively correlated sensor responses with large margins, especially for strict FC-standards (FC-standard is defined as the maximum allowed False Clear rate). Suggestions for future research are also included. FC-standard is the second most influential design variable followed by grid size. / Master of Science

本論文中，我們提出基於機場安全檢查的分層排隊理論模型，模型中的旅客基於歷史的安全數據被分成三組。我們運用二維馬可夫過程（two-dimensional Markov process）以及馬可夫調控卜瓦松過程（Markov modulated Poisson process）構建模型的排隊系統並加以分析。我們收集了台灣桃園國際機場和其它兩個機場的旅客數據以驗證我們提出的模型，並運用模擬退火法（simulated annealing）求得近似最佳解（near-optimum solution）。最後我們通過模型的旅客平均等候時間和另外兩種等候模型進行比較，之後得出我們的模型確實可以在不增加成本，甚至提升安全性的同時能夠有效地減少平均等候時間。 / This thesis proposes a tiered inspection system for airport security, wherein passengers are divided into three classes based on historical security records. A two-dimensional Markov process and a Markov modulated Poisson process (MMPP) queue were used in the formulation of the security inspection system. Simulated annealing was then used to obtain near-optimum solution for the model. The efficacy of the proposed model was evaluated using the arrival data of passengers at Taoyuan International Airport and other two international airports. A comparison with two conventional queueing models with regard to the average waiting time demonstrated the effectiveness of the proposed security inspection system in enhancing service efficiency and boosting the level of security.

La présente étude a analysé l’évolution de l’Administration Canadienne de la Sureté du Transport Aérien (ACSTA) depuis sa mise en place jusqu’aujourd’hui, ainsi que les acteurs individuels ou institutionnels impliqués dans ce processus. L’ACSTA gravite dans un champ organisationnel ‐ensemble d’organisations qui constituent un domaine reconnu de la vie institutionnelle (DiMaggio et Powell, 1983)-­ au sein duquel agissent différents acteurs qui ont influencé non seulement sa création, mais qui ont continué à jouer un rôle important tout au long de son évolution. Nous avons défini le champ de la sûreté aérienne et au sein de celui‐ci, nous avons analysé les mécanismes institutionnels, tout en identifiant et définissant le rôle des différents acteurs en présence. Il ressort de nos analyses que principalement deux types de contraintes institutionnelles (DiMaggio et Powell, 1983) ont influencé la création et le développement de l’ACSTA. Premièrement, mis à part les contraintes coercitives émanant de la règlementation internationale de l’Organisation de l’Aviation Civile Internationale, il apparait que d’autres contraintes du même type proviennent du gouvernement américain, par le biais de pressions visant à la mise en place de mesures sécuritaires, tant au moment de la création que tout le long de l’évolution de l’organisation. Il est à noter, cependant, le rôle du terrorisme et des tentatives d’attentat comme provocant de telles contraintes. Deuxièmement, nous avons identifié des contraintes du type normatif, c’est-à‐dire celles qui proviennent des valeurs, des normes et du bagage professionnel lié à la sécurité et à la sureté aérienne. Il apparait que les contraintes normatives agissent constamment alors que les contraintes coercitives surgissent ponctuellement tout au long de la période analysée. / This study analyzed the evolution of the Canadian Air Transport Security Administration (CATSA) since its creation up to today, as well as the individual and / or institutional actors implied in this process. CATSA gravitates in an organizational field ‐the group of organizations that constitute a recognized area of institutional life (DiMaggio and Powell, 1983)- in which different actors, who not only influenced its creation, continued to play an important role all along its evolution. We have defined the air transport security field and within, we have analyzed the institutional mechanisms while identifying and defining the role of the different actors. Our analysis suggests that mainly two types of institutional isomorphisms (DiMaggio and Powell, 1983) have influenced the creation and the evolution of CATSA. Besides the coercive constraints coming from the International Civil Aviation Organization’s international regulation, it appears that other similar pressures emanate from the government of the United States by the means of coercive isomorphism, aiming the establishment of security measures all along CATSA’s evolution. It should be noted, however, the role of terrorists and their attempts to attack, as the catalyst actors and events of such coercive isomorphism. Second of all, we have also identified normative pressures originating from the values and standards from the professional network, or branch, linked to air transport security. It appears that the normative pressures appear regularly, while the coercive pressures emerge punctually all along the analyzed time period.