Analyzing IOT users’ mobile device privacy concerns: Extracting privacy permissions using a disclosure experiment

Menard, Philip; Bott, Gregory

doi:10.1016/j.cose.2020.101856

Cited by 43 publications

(42 citation statements)

References 41 publications

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“…e first subtopic is related to personal information security [280][281][282][283]. e second subtopic is related to the data value chain, including information related to the owner's perception of privacy protection and the right to make decisions about personal information protection [96,[284][285][286][287].…”

Section: Identification Of Topics In Iot Securitymentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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The smart mobile Internet-of-things (IoT) network lays the foundation of the fourth industrial revolution, the era of hyperconnectivity, hyperintelligence, and hyperconvergence. As this revolution gains momentum, the security of smart mobile IoT networks becomes an essential research topic. This study aimed to provide comprehensive insights on IoT security. To this end, we conducted a systematic mapping study of the literature to identify evolving trends in IoT security and determine research subjects. We reviewed the literature from January 2009 to August 2020 to identify influential researchers and trends of keywords. We additionally performed structural topic modeling to identify current research topics and the most promising ones via topic trend estimation. We synthesized and interpreted the results of the systematic mapping study to devise future research directions. The results obtained from this study are useful to understand current trends in IoT security and provide insights into research and development of IoT security.

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Section: Identification Of Topics In Iot Securitymentioning

confidence: 99%

Current Research Trends in IoT Security: A Systematic Mapping Study

Lee

2021

Mobile Information Systems

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“…Many reports of privacy risks and violations—such as eavesdropping by smart speakers in people’s homes—have emerged. Despite this, studies have found that although privacy concerns reduce social-media use ( Jozani et al, 2020 ), they do not affect intentions to purchase IoT devices ( Menard & Bott, 2020 ). From the evolutionary perspective, differences in reputational cues between IoT devices and social media can account for differences in users’ privacy concerns and behaviors.…”

Section: Evolutionary Mismatchmentioning

confidence: 99%

The Privacy Mismatch: Evolved Intuitions in a Digital World

Green

Jettinghoff

2021

Curr Dir Psychol Sci

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Although people report grave concern over their data privacy, they take little care to protect it. We suggest that this privacy paradox can be understood in part as the consequence of an evolutionary mismatch: Privacy intuitions evolved in an environment that was radically different from the one found online. This evolved privacy psychology leaves people disconnected from the consequence of online privacy threats.

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“…Considering the advent of the Internet of Things (IoT), in relation to the concern with the privacy of information in the context of the internet, many users perceive the proliferation of IoT as convenience and important informational utility. They are not aware of the unintended results of this wide accumulation data through breaches of personally identifiable information (Menard & Bott, 2020). In an experiment conducted by the authors, it was identified that IoT users process privacy issues related to their IoT devices differently from issues related to Internet use.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Future Intention to disclose personal information via mobile apps

2021

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This study analyses the future intention to disclose personal information in order to use mobile applications (apps) and the framing effect in relation to privacy concerns. To test the effects, an experiment was conducted involving 405 participants, using a single-factor design with independent groups and covariates. The results indicate concern about privacy is negatively related to the future intention, confirming the effects of framing on future intention, with the effect being negative in relation to the negative framing of trust beliefs and positive in relation to the positive framing of risk beliefs, while the moderating effect was not confirmed. Thus, this paper contributes to two specific areas: 1) privacy, because it confirms the relationship between information privacy concerns and future intention (new proposed scale); and 2) decision-making, as it demonstrates the effects of framing on risk and trust beliefs in future intentions, which, as far as is known, has not previously been shown.

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Analyzing IOT users’ mobile device privacy concerns: Extracting privacy permissions using a disclosure experiment

Cited by 43 publications

References 41 publications

Current Research Trends in IoT Security: A Systematic Mapping Study

Current Research Trends in IoT Security: A Systematic Mapping Study

The Privacy Mismatch: Evolved Intuitions in a Digital World

Future Intention to disclose personal information via mobile apps

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