Heuristic evaluation of online satisfaction survey system for public healthcare service: Applying analytical hierarchical process

Yusoh, Suweena; Matayong, Sureena

doi:10.1109/icitisee.2017.8285551

“…This makes mobile money subscribers go backwards or to the home page when they want to access other services, thus, affecting user control and freedom. This is similar to the studies conducted by Yusoh and Matayong (2017) and Jeddi et al (2020), who reported a lack of navigation links with the applications.…”

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...supporting

confidence: 91%

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

Guma¹

1

0

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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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“…This makes mobile money subscribers go backwards or to the home page when they want to access other services, thus, affecting user control and freedom. This is similar to the studies conducted by Yusoh and Matayong (2017) and Jeddi et al (2020), who reported a lack of navigation links with the applications.…”

Section: Heuristic Evaluation and Usability Testing (I) Several Usabi...supporting

confidence: 90%

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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“…In this section we reviewed the most popular methods such as the Utility Theory (UT), Pugh method, Multivariate analysis (MVA), Analytic Hierarchy Process (AHP). Table 1 summarizes these methods [34]- [43], including their essential features, advantages, and limitations.…”

Section: B Architecture Evaluation Methods In the Trade Study Processmentioning

confidence: 99%

Model-Based Evaluation of the System of Systems Architectures Used to Perform Trade Studies and Sensitivity Analyses

Bankauskaite

¹

,

Morkevičius

²

,

Butleris

³

2021

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Trade studies have become an indispensable engineering activity and are used often in the early stage of system architecture development. Trade studies not only help when choosing the most balanced alternative, but are also essential in highlighting the most influential aspects of the system. Trade studies in highly sophisticated systems are often very complex. Therefore, given these complexities, we proposed a new trade study process for the system of systems architecture developed in Unified Architecture Framework models. This process supports automated methods that allow for greater accuracy, better uncertainty analysis, and accelerated analysis of alternatives. One of the essential and challenging stages of the proposed trade study process is a thorough evaluation of plausible alternatives, referred to as the Deep Check. The goal of this stage is to identify the most balanced alternative by evaluating those that are plausible against established evaluation criteria. This paper introduces a new approach to evaluate the system of systems architectures within a trade study process using automated methods in a model-based system engineering environment. We verified the proposed method by running an experiment on a real-world model to confirm its eligibility.INDEX TERMS Architecture evaluation, sensitivity analysis, system of systems architecture, trade study, unified architecture framework (UAF).

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Heuristic evaluation of online satisfaction survey system for public healthcare service: Applying analytical hierarchical process

Cited by 4 publications

References 10 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

Model-Based Evaluation of the System of Systems Architectures Used to Perform Trade Studies and Sensitivity Analyses

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