WITHDRAWN: Time pressure in human cybersecurity behavior: Theoretical framework and countermeasures

Chowdhury, Noman H.; Adam, Marc T. P.; Teubner, Timm

doi:10.1016/j.cose.2020.101931

Cited by 20 publications

(19 citation statements)

References 42 publications

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“…We conducted the interviews until we stopped finding new or further themes (inductive thematic saturation; Saunders et al, 2018), suggesting that we had reached a point of empirical and theoretical saturation. This technique is commonly used in thematic studies and is also used by Chowdhury et al (2020).…”

Section: Methodsmentioning

confidence: 99%

A framework for ID fraud prevention policies in E-tailing sector

Soomro

Shah

Thatcher

2021

Computers & Security

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Section: Methodsmentioning

confidence: 99%

A framework for ID fraud prevention policies in E-tailing sector

Soomro

Shah

Thatcher

2021

Computers & Security

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“…In this research, using some devices to log on to the internet can pose a risk, and they suggest using policies when using the free internet. In [23], the authors conducted interviews with 35 experts and non-experts and some individual users. The results show the theoretical possibilities as a function of time and how they affect different security behaviours.…”

Section: Related Workmentioning

confidence: 99%

Impact of Human Vulnerabilities on Cybersecurity

Alsharif¹,

Mishra²,

Alshehri³

2022

Computer Systems Science and Engineering

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Today, security is a major challenge linked with computer network companies that cannot defend against cyber-attacks. Numerous vulnerable factors increase security risks and cyber-attacks, including viruses, the internet, communications, and hackers. Internets of Things (IoT) devices are more effective, and the number of devices connected to the internet is constantly increasing, and governments and businesses are also using these technologies to perform business activities effectively. However, the increasing uses of technologies also increase risks, such as password attacks, social engineering, and phishing attacks. Humans play a major role in the field of cybersecurity. It is observed that more than 39% of security risks are related to the human factor, and 95% of successful cyber-attacks are caused by human error, with most of them being insider threats. The major human factor issue in cybersecurity is a lack of user awareness of cyber threats. This study focuses on the human factor by surveying the vulnerabilities and reducing the risk by focusing on human nature and reacting to different situations. This study highlighted that most of the participants are not experienced with cybersecurity threats and how to protect their personal information. Moreover, the lack of awareness of the top three vulnerabilities related to the human factor in cybersecurity, such as phishing attacks, passwords, attacks, and social engineering, are major problems that need to be addressed and reduced through proper awareness and training.

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“…As mentioned earlier, all these components are important and needed because they are core components of experience whereby users' perception, including emotions, are evaluated during the interaction with the system [16]. User characteristic refers to user knowledge or skill such as education, system experience, personality or role, and language proficiency [35]. While task characteristic refers to business workflow in the study by Seffah et al [36], another study refers to complexity and involvement in primary tasks [35].…”

Section: G Development Of Conceptual Ux Evaluation Model Formentioning

confidence: 99%

“…User characteristic refers to user knowledge or skill such as education, system experience, personality or role, and language proficiency [35]. While task characteristic refers to business workflow in the study by Seffah et al [36], another study refers to complexity and involvement in primary tasks [35]. Besides that, artifact characteristic refers to the online system used by the user.…”

Section: G Development Of Conceptual Ux Evaluation Model Formentioning

confidence: 99%

A Conceptual User Experience Evaluation Model on Online Systems

Yusof¹,

Hashim²,

Hussain³

2022

IJACSA

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An online system has become a priority for organisations or companies in many countries, as it allows many processes to be conducted via online platforms, which contributes to profit gain. There are different types of user experience (UX) evaluation models that have been proposed to guide the measurement and development process. However, most of these models only have dimensions, and there is no guidance for UX measurement on online systems. The lack of evaluation models for online system measurement requires further investigation. This paper aims to identify the gaps in UX evaluation models, and develop a conceptual UX evaluation model for online systems. The method used in this study includes reviewing several literatures and shortlisting the relevant publications on UX and online systems. After that, the gaps were identified from the existing UX evaluation model in the relevant publications based on the ISO standard. Then, the study identified the important components of UX, and proposed a new conceptual UX evaluation model for online systems. The results of the study are the identification of the gaps in existing UX evaluation models, and the development of a new conceptual UX evaluation model that is specifically for online systems. Therefore, the results help in considering UX dimensions, criteria, and metrics and potential UX components for evaluation and measurement. The paper contributes to system developers, designers, and also researchers for future UX evaluation model development for online systems. Future studies could use the reviewed UX evaluation models to identify relevant dimensions of online systems, and hence improve the model that they will develop. The findings may also be beneficial to organisations that own online systems by providing guidelines on important dimensions involved in their UX-based evaluations.

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WITHDRAWN: Time pressure in human cybersecurity behavior: Theoretical framework and countermeasures

Cited by 20 publications

References 42 publications

A framework for ID fraud prevention policies in E-tailing sector

A framework for ID fraud prevention policies in E-tailing sector

Impact of Human Vulnerabilities on Cybersecurity

A Conceptual User Experience Evaluation Model on Online Systems

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