scholarly journals Smart Airport Cybersecurity: Threat Mitigation and Cyber Resilience Controls

Sensors ◽  
2018 ◽  
Vol 19 (1) ◽  
pp. 19 ◽  
Author(s):  
Georgia Lykou ◽  
Argiro Anagnostopoulou ◽  
Dimitris Gritzalis

Airports are at the forefront of technological innovation, mainly due to the fact that the number of air travel passengers is exponentially increasing every year. As a result, airports enhance their infrastructure intelligence and evolve as smart facilities to support growth, by offering an enjoyable travel experience. New challenges are coming up, which aviation has to deal with and adapt to, such as the integration of Industrial IoT (Internet of Things) in airport facilities and the increased use of smart devices from travelers and employees. Cybersecurity is becoming a key enabler for safety, which is paramount in the aviation context. Smart airports strive to provide optimal services in a reliable and sustainable manner, by working around the domains of growth, efficiency, safety and security. This article researches: (a) the implementation rate of cybersecurity measures in commercial airports; (b) malicious threats that evolve due to IoT and smart devices installed; (c) risk scenario analysis for IoT malicious attacks with threat mitigation actions. With the aim to enhance operational practices and develop robust cybersecurity governance in smart airports, we present a systematic and comprehensive analysis of malicious attacks in smart airports, to facilitate airport community comprehend risks and proactively act, by implementing cybersecurity best practices and resilience measures.

2020 ◽  
Vol 7 (2) ◽  
pp. 67-82
Author(s):  
Susan Andrews

Background:  Recent reviews of published guidelines for conducting short-term medical missions (STMM) identify significant concerns about the lack of adherence and of formal regulations concurrent with the increasing number of individuals and organizations participating in STMM. Method: A descriptive survey methodology was used. A 44-item survey that identifies current practices utilized by healthcare providers (HCP) who have participated in STMM was used based on the literature and prior research, and distributed electronically to HCP participating in STTM to identify current best practices and compare findings with the most recent recommendations for short-term global health activities. A focus on current operational practices was surveyed and analyzed to develop operational recommendations for the ethical and safe care provided during STMM. Results: Eighty-seven surveys were included in the final analysis, with 33% (N=29) serving as coordinators for the trip. The majority of the respondents were female (67%) and the primary roles represented were: MD (N=17; 20%), nurse practitioner (N=20; 23%), and registered nurse (N=18; 21%). A majority (N=48; 67%) traveled to South America or Latin America, with 38% (N=33) having participated in four or more STMM. Language proficiency was reported as deficient (N=35; 40%) along with little or no knowledge of the basic culture (N=39; 45%). Additional data were collected on trip preparation, clinic operations, and outcomes follow up. Conclusions: Using a convenience sample, the results of the survey provide information on the current best practices utilized by HCP who have participated in STMM and compare the findings to assess for adherence with the most recent recommendations for short-term global health activities. There was variation in the degree to which HCP were knowledgeable about specific aspects related to knowledge of local culture, language proficiency, and adherence to recommended practices for STMM. Additional research on STMM is needed, along with further exploration of how evidence based practices for STMM can be implemented to improve access and safety to the care provided while in the host country.


Author(s):  
Mona Bakri Hassan ◽  
Elmustafa Sayed Ali Ahmed ◽  
Rashid A. Saeed

The use of AI algorithms in the IoT enhances the ability to analyse big data and various platforms for a number of IoT applications, including industrial applications. AI provides unique solutions in support of managing each of the different types of data for the IoT in terms of identification, classification, and decision making. In industrial IoT (IIoT), sensors, and other intelligence can be added to new or existing plants in order to monitor exterior parameters like energy consumption and other industrial parameters levels. In addition, smart devices designed as factory robots, specialized decision-making systems, and other online auxiliary systems are used in the industries IoT. Industrial IoT systems need smart operations management methods. The use of machine learning achieves methods that analyse big data developed for decision-making purposes. Machine learning drives efficient and effective decision making, particularly in the field of data flow and real-time analytics associated with advanced industrial computing networks.


2018 ◽  
Vol 25 (7) ◽  
pp. 2018-2039
Author(s):  
Ibere Guarani de Souza ◽  
Daniel Pacheco Lacerda ◽  
Luis Felipe Riehs Camargo ◽  
Aline Dresch ◽  
Fabio Antonio Sartori Piran

PurposeThe purpose of this paper is to analyze the productive efficiency and the best operational practices in an armaments manufacturer.Design/methodology/approachA longitudinal case study is performed using data envelopment analysis (DEA). Using DEA, an assessment of six years in the company manufacturing process is conducted. The research aims at developing an internal benchmark on three production lines of the company.FindingsThe results show that only one of the three analyzed production lines increased efficiency over time. With this result, the most efficient production line may be used as a reference in relation to the best operational practices of the company. Moreover, it was found that the current indicators to evaluate efficiency are insufficient and may lead to wrong management decisions.Practical implicationsThis research could allow a larger understanding of the factors that really contribute to increased operational efficiency. This is due to internal benchmark assist in the identification of the best practices. The identification of best practices can contribute to enhance the efficiency of inefficient operations without the need for external comparisons.Originality/valueDEA contributes due to its robustness, for the evaluation of productive efficiency. One of the contributions of this study is to identify opportunities for improvement in key components of the operation through targets, internal benchmarking and robust assessment of productive efficiency.


2021 ◽  
Author(s):  
Farooq Anwar Baig ◽  
Ali Alhasawi ◽  
Marco Aburto Perez

Abstract Short radius wells typically incorporate build rates between 35deg per 100ft and 70deg per 100ft. These wells are typically drilled to minimize exposure of a problematic zone above the target or to reduce geological uncertainty. This paper will discuss best practices and equipment developed specifically for delivering these wells in the Middle East. Case histories will illustrate the close collaboration with the operator resulting in performance step change for short radius drilling. The approach is based on a rigorous Drilling Engineering process. Such process is divided in four major steps; design, execute, evaluate and optimize. One of the first key steps is to perform a diligent risk assessment ensuring the customer objectives are achieved. This resulted in the development and implementation of technological innovations on downhole motors and Measurements While Drilling (MWD) tools to achieve the required high build rates safely and consistently. Proper communication was crucial for flawless execution, and meticulous documentation enabled proper evaluation and optimization of the art of short radius drilling. For over 10 years, multiple short radius wells have been consistently delivered meeting their objectives; from successful sidetracking operations, accurate curve landing, optimum geo-steering, valuable Logging While Drilling (LWD) data collection, to extending the life of the wells by maximizing their production. The last two steps of the Drilling Engineering cycle (evaluate and optimize) have been the foundation of the continuous improvement process; targeting adequate equipment maintenance, Bottom Hole Assembly (BHA) design and operational practices to ensure consistent results. The paper will recap the drilling engineering cycle for wells drilled recently. The discussed best practices have enabled master the art of short radius drilling. Such distinctive knowledge should be shared with the entire oil and gas industry. The paper captures the engineering approach to tackle the traditional challenges of drilling short radius wells. It also discusses the reliable solution for drilling short radius wells in Middle East which are planned to access new reserves from an existing infrastructure, while minimizing drilling and geological risks.


Sensors ◽  
2021 ◽  
Vol 21 (18) ◽  
pp. 6084
Author(s):  
Yifan Meng ◽  
Jingzhao Li

The Industrial IoT is one of the key technologies to improve industrial production efficiency. The entire production process usually involves multiple production regions and numerous smart devices (sensors and actuators). The efficiency of the Industrial IoT is limited by this strong coupling relationship between the subsystem and the sensors and actuators. In this paper, to unleash the potential of Industrial IoT, a safe and reliable data sharing mechanism of sensors and actuators is proposed. We deployed distributed identity authentication and data proxy services in various regions. In the device authentication process, we used identity-based encryption algorithms, and we solved the trust problem between different regions by introducing a private blockchain. In addition, we designed the model of device capability (MDC) to describe the device, enabling it to be shared with a standard interface. Finally, we conducted many performance tests on the proposed mechanism. The test results verified the effectiveness and efficiency of the proposed mechanism.


2021 ◽  
Author(s):  
Gabriela Singer ◽  
◽  
Mark Flaum ◽  
Songhua Chen ◽  
S. Mark Ma ◽  
...  

Drill cuttings are available in every well drilled and NMR is a powerful tool for characterization of rocks and fluids. It is thus desirable if useful petrophysical information can be derived from NMR drill cutting analysis. However, previous studies have shown that there are many uncertainties associated with cutting analysis by using NMR, such as (1) the small cutting size may not be representative of the formation rock pore system, and (2) the effect of drilling fluids which may penetrate and clog the pore space may result in uncertain pore typing and pore surface characterization. In this paper, based on a detailed methodology evaluation study using cuttings with different rock types, cutting sizes, and with different mud contaminations, we present experimental evidence to show (1) the best operational practices to remove mud and excess fluid contamination, and (2) the minimal cutting size required to obtain useful petrophysical information. In addition, we will also provide recommended cuttings preparation procedures and set the practical expectations for NMR drilling cutting analysis.


2018 ◽  
Vol 33 (2) ◽  
Author(s):  
Lise Héroux ◽  
Nancy J. Church

The souvenir is an integral part of the travel experience and most tourists return home with souvenirs to preserve and commemorate such experiences. However, souvenirs and souvenir retailing is for the most part an untapped field of research. This research investigates the marketing strategies implemented by gift/souvenir shops and whether differences are found between Canada (Quebec and Ontario regions) and the United States (Vermont/New York region). The findings suggest that differences exist in the marketing strategies of gift and souvenir shops in these three regions. The marketing strategy ratings for product, price, promotion, and place were consistently higher for Ontario gift shops, followed by New York, and lowest for Quebec. The qualitative findings provide some insight into the specific variables that contribute to these differences. Gift and souvenir shop owners may benefit from identifying best practices that differentiate the Ontario stores and make their marketing strategy more appealing to visitors. This may provide useful guidelines for implementing changes to improve their marketing strategy.


Author(s):  
Kristen Izaryk ◽  
Robin Edge ◽  
Dawn Lechwar

Purpose The purpose of this article is to explore and describe the approaches and specific assessment tools that speech-language pathologists are currently using to assess social communication disorders (SCDs) in children, in relation to current best practices. Method Ninety-four speech-language pathologists completed an online survey asking them to identify which of the following approaches they use to assess children with SCD: parent/teacher report, naturalistic observation, formal assessment, language sample analysis, interviews, semistructured tasks, and peer/self-report. Participants were also asked to identify specific assessment tools they use within each approach. Results Participants most commonly assess SCDs by combining interviews, naturalistic observation, language sampling, parent/teacher report, and formal assessment. Semistructured tasks and peer/self-report tools were less frequently utilized. Several established parent/teacher report and formal assessment tools were commonly identified for assessing SCDs. Most participants use an informal approach for interviews, language sampling, and naturalistic observations in their SCD assessment process. Conclusions Generally, participants follow best practices for assessing SCDs by combining several different approaches. Some considerations for future assessment are identified, including the use of established protocols in the place of informal approaches in order to make the assessment of SCDs more systematic. Future directions for research are discussed.


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