Building Trustworthiness in Computer-Mediated Introduction: A Facet-Oriented Framework

Borchert, Angela; Ferreyra, Nicolás E. Díaz; Heisel, Maritta

doi:10.1145/3400806.3400812

Cited by 6 publications

(1 citation statement)

References 36 publications

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“…A solid formalization of computational trust, to explain how relationships develop through interactions across a range of web-based contexts, would provide enhanced web-based security [ 29 ]. Researchers and developers should be brave enough to consider trust development within technology design by providing features that support end users in evaluating the trustworthiness of the technology, helping to promote proper use of technology, and minimizing the frequency of security incidents [ 30 ].…”

Section: Required Changes In Cybersecuritymentioning

confidence: 99%

COVID-19 and Cybersecurity: Finally, an Opportunity to Disrupt?

Ferreira¹,

Cruz‐Correia²

2021

JMIRx Med

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COVID-19 has challenged cybersecurity to meet the ultimate need of guaranteeing the privacy and security of human beings. Although personal and sensitive health data are needed to better understand, detect, and control the disease, many related cybersecurity challenges and vulnerabilities require further analysis and proper discussion. The aims of this viewpoint are to explore the consequences of COVID-19 on cybersecurity and health care as well as to foster awareness regarding the need for a change in paradigm on how cybersecurity is approached. Education and information technology literacy are important when they are suitably provided; however, they are certainly not a complete solution. Disruption needs to occur at the core of human-device interactions. Building trust, providing novel means to interact with technology (eg, digital humans), and supporting people—the most important cybersecurity asset—are only some of the recommendations for a more human and resilient approach to cybersecurity, during or after the pandemic.

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Section: Required Changes In Cybersecuritymentioning

confidence: 99%