Using Data Analytics and Visualization Dashboard for Engineering, Procurement, and Construction Project's Performance Assessment

Al-Sulaiti, Ahmed; Mansour, Manal M.; Al-Yafei, Hussein; Aseel, Saleh; Küçükvar, Murat; Onat, Nuri Cihat

doi:10.1109/iciea52957.2021.9436728

“…Peter Chen of the Massachusetts Institute of Technology developed the entity-relationship model for database design in 1976 (Sinha et al, 2013). Saad and Muniandi (2020), Rashkovits andLavy (2021), andAl-Sulaiti et al (2021) define ERD as a conceptual data model that describes and represents entities, attributes, and the relationships between the entities in database design. The ERD's primary purpose is to visually represent data objects (Saad & Muniandi, 2020).…”

Section: The Use Case Diagram For Mobile Money It Support Staffmentioning

confidence: 99%

“…The ERD is used to design database structures effectively, minimises and saves time in coding and documentation processes, models real-world problems into a database schema, facilitates communications, helps to describe the components using entity-relationship models, allows database designers and users to preview the logical structures of the database, and provides reverse engineering (Wong et al, 2012;Cagiltay et al, 2013;Javed & Lin, 2018;Yuen et al, 2019;Al-Sulaiti et al, 2021). Figure 21 shows the entity-relationship schematic for the G-MoMo main database.…”

Section: The Use Case Diagram For Mobile Money It Support Staffmentioning

confidence: 99%

Development of a secure multi-factor authentication algorithm for mobile money applications

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With the evolution of industry 4.0, financial technologies have become paramount and mobile money as one of the financial technologies has immensely contributed to improving financial inclusion among the unbanked population. Several mobile money schemes were developed but, they suffered severe authentication security challenges since they implemented two-factor authentication. This study focused on developing a secure multi-factor authentication (MFA) algorithm for mobile money applications. It uses personal identification numbers, one-time passwords, biometric fingerprints, and quick response codes to authenticate and authorize mobile money subscribers. Secure hash algorithm-256, Rivest-Shamir-Adleman encryption, and Fernet encryption were used to secure the authentication factors, confidential financial information and data before transmission to the remote databases. A literature review, survey, evolutionary prototyping model, and heuristic evaluation and usability testing methods were used to identify authentication issues, develop prototypes of native genuine mobile money (G-MoMo) applications, and identify usability issues with the interface designs and ascertain their usability, respectively. The results of the review grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the key mobile money systems’ security issues. The researcher designed a secure MFA algorithm for mobile money applications and developed three native G-MoMo applications to implement the designed algorithm to prove the feasibility of the algorithm and that it provided robust security. The algorithm was resilient to non-repudiation, ensured strong authentication security, data confidentiality, integrity, privacy, and user anonymity, was highly effective against several attacks but had high communication overhead and computational costs. Nevertheless, the heuristic evaluation results showed that the G-MoMo applications’ interface designs lacked forward navigation buttons, uniformity in the applications’ menu titles, search fields, actions needed for recovery, and help and documentation. Similarly, the usability testing revealed that they were easy to learn, effective, efficient, memorable, with few errors, subscriber satisfaction, easy to use, aesthetic, easy to integrate, and understandable. Implementing a secure mobile money authentication and authorisation by combining multiple factors which are securely stored helps mobile money subscribers and other stakeholders to have trust in the developed native G-MoMo applications.

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“…Peter Chen of the Massachusetts Institute of Technology developed the entity-relationship model for database design in 1976 (Sinha et al, 2013). Saad and Muniandi (2020), Rashkovits andLavy (2021), andAl-Sulaiti et al (2021) define ERD as a conceptual data model that describes and represents entities, attributes, and the relationships between the entities in database design. The ERD's primary purpose is to visually represent data objects (Saad & Muniandi, 2020).…”

Section: The Use Case Diagram For Mobile Money It Support Staffmentioning

confidence: 99%

Development of a secure multi-factor authentication algorithm for mobile money applications

Guma¹

0

View full text Add to dashboard Cite

With the evolution of industry 4.0, financial technologies have become paramount and mobile money as one of the financial technologies has immensely contributed to improving financial inclusion among the unbanked population. Several mobile money schemes were developed but, they suffered severe authentication security challenges since they implemented two-factor authentication. This study focused on developing a secure multi-factor authentication (MFA) algorithm for mobile money applications. It uses personal identification numbers, one-time passwords, biometric fingerprints, and quick response codes to authenticate and authorize mobile money subscribers. Secure hash algorithm-256, Rivest-Shamir-Adleman encryption, and Fernet encryption were used to secure the authentication factors, confidential financial information and data before transmission to the remote databases. A literature review, survey, evolutionary prototyping model, and heuristic evaluation and usability testing methods were used to identify authentication issues, develop prototypes of native genuine mobile money (G-MoMo) applications, and identify usability issues with the interface designs and ascertain their usability, respectively. The results of the review grouped the threat models into attacks against privacy, authentication, confidentiality, integrity, and availability. The survey identified authentication attacks, identity theft, phishing attacks, and PIN sharing as the key mobile money systems’ security issues. The researcher designed a secure MFA algorithm for mobile money applications and developed three native G-MoMo applications to implement the designed algorithm to prove the feasibility of the algorithm and that it provided robust security. The algorithm was resilient to non-repudiation, ensured strong authentication security, data confidentiality, integrity, privacy, and user anonymity, was highly effective against several attacks but had high communication overhead and computational costs. Nevertheless, the heuristic evaluation results showed that the G-MoMo applications’ interface designs lacked forward navigation buttons, uniformity in the applications’ menu titles, search fields, actions needed for recovery, and help and documentation. Similarly, the usability testing revealed that they were easy to learn, effective, efficient, memorable, with few errors, subscriber satisfaction, easy to use, aesthetic, easy to integrate, and understandable. Implementing a secure mobile money authentication and authorisation by combining multiple factors which are securely stored helps mobile money subscribers and other stakeholders to have trust in the developed native G-MoMo applications.

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Analysis and Improvement of Service Level: Practical Case in a Luxury Leather Goods Component Manufacturing Company

Teixeira,

Ferreira

2024

Lecture Notes in Networks and Systems

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Using Data Analytics and Visualization Dashboard for Engineering, Procurement, and Construction Project's Performance Assessment

Cited by 8 publications

References 13 publications

Development of a secure multi-factor authentication algorithm for mobile money applications

Development of a secure multi-factor authentication algorithm for mobile money applications

Development of a secure multi-factor authentication algorithm for mobile money applications

Analysis and Improvement of Service Level: Practical Case in a Luxury Leather Goods Component Manufacturing Company

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