Do partner apps offer the same level of privacy protection? The case of wearable applications

Kazlouski, Andrei; Marchioro, Thomas; Manifavas, Harry; Markatos, Evangelos P.

doi:10.1109/percomworkshops51409.2021.9431018

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…, 2016). Kazlouski et al. (2021) stated that the WHD partnering applications are prone to sharing of personal information.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

“…Past studies have continuously drawn attention to privacy concern for IoT-enabled technological innovations and (Westin, 2003;Feng and Xie, 2014;Sarabdeen and Moonesar, 2018), the relevance of PPP has not been extensively examined in the context of WHD (Nelson et al, 2016). Kazlouski et al (2021) stated that the WHD partnering applications are prone to sharing of personal information. Further, Alraja et al (2021) and Bharathi (2019) mentioned privacy protection as one of the major concerns in IOT-enabled smart healthcare systems and proposed an integrated solution for users to effectively protect their privacy.…”

Section: Relationship Of Perceived Privacy Protection (Ppp) With Desi...mentioning

confidence: 99%

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Is health consciousness and perceived privacy protection critical to use wearable health devices? Extending the model of goal-directed behavior

Srivastava

Chatterjee

Subramani

et al. 2021

BIJ

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PurposeThe present study is an attempt to extend the Model of Goal-directed Behavior (MGB) to consider health consciousness and perceived privacy protection as two critical factors to predict desire and intention by individuals to adopt and use wearable health devices (WHDs).Design/methodology/approachBased on the literature review hypotheses were framed and tested using data collected through a questionnaire survey. A total of 418 self-reported complete responses were considered to analyze the hypotheses proposed in the study. Structural equation modeling, effects analysis and model comparison (MGB and extended MGB) were performed to understand the predictability of the suggested model.FindingsThe results of the study corroborate that along with MGB, health consciousness and perceived privacy protection also induces the intention of users toward using WHDs. Health-consciousness is found to have a positive and significant direct and indirect impact on intention to use WHDs. Further, the model comparison exhibits that the proposed extended MGB is a better predictor of intention to use WHDs.Practical implicationsApart from the conventional framework of MGB, health consciousness and perceived privacy protection promote desire and intention to use WHDs. This research provides a framework for marketers to promote health consciousness among consumers by motivating them to adopt WHDs. Further, privacy protection features should be showcased in order to induce trust in consumers which in turn will trigger their intention to use WHDs to lead a healthy lifestyle.Originality/valueThe current study incorporates health consciousness and perceived privacy protection in MGB to fit into the context of healthcare intention study, which enhances the predictability of intention behavior of consumers and adds to the existing body of MGB and healthcare literature.

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“…, 2016). Kazlouski et al. (2021) stated that the WHD partnering applications are prone to sharing of personal information.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Section: Relationship Of Perceived Privacy Protection (Ppp) With Desi...mentioning

confidence: 99%

Is health consciousness and perceived privacy protection critical to use wearable health devices? Extending the model of goal-directed behavior

Srivastava

Chatterjee

Subramani

et al. 2021

BIJ

View full text Add to dashboard Cite

show abstract

“…[28] uses the AES algorithm for data encryption and decryption as it prevents the data to be manipulated with. Privacy is another issue as [29] reports many health applications compatible with popular fitness trackers communicate with "unexpected" third parties, such as social networks or advertisement services.…”

Section: Related Researchmentioning

confidence: 99%

“…Data security protects digital information from being accessed by unauthorized individuals, modified in a destructive manner (corruption), or stolen. Three major threats to the security of medical data [29] are the following:…”

Section: Security and Privacy Threatsmentioning

confidence: 99%

IoT Health Data in Electronic Health Records (EHR): Security and Privacy Issues in Era of 6G

Koren

Prasad

2022

JICTS

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Millions of wearable devices with embedded sensors (e.g., fitness trackers) are present in daily lives of its users, with the number growing continuously, especially with the approaching 6G communication technology. These devices are helping their users in monitoring daily activities and promoting positive health habits. Potential integration of such collected data into central medical system would lead to more personalized healthcare and an improved patient-physician experience. However, this process is met with several challenges, as medical data is of a highly sensitive nature. This paper focuses on the security and privacy issues for such a process. After providing a comprehensive list of security and privacy threats relevant to data collection and its handling within a Central Health Information system, the paper addresses the challenges of designing a secure system and offeres recommendations, solutions and guidelines for identified pre-6G and 6G security and privacy issues.

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“…The widespread usage and data transmission, as well as the heightened privacy risks associated with microservices of wearable devices, indicate an apparent need for compliance with existing regulations. For example, an investigation by [1] revealed that many partner applications compatible with the Fitbit fitness tracker transmit personal information, such as geolocation and email addresses, to unintended third parties. This group comprises social networks, analytic and advertising services, and weather-related Application Programming Interfaces.…”

Section: Introductionmentioning

confidence: 99%

Ensuring Privacy Policy Compliance of Wearables with IoT Regulations

Echenim,

Elluri,

Joshi

2023

2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)

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In an era where wearables, particularly those in non-hospital settings, collect and transmit sensitive personal data, it is imperative to implement stringent privacy safeguards. The National Institute of Standards and Technology (NIST) Internal Report 8228 provides regulations for securing Internet of Things (IoT) devices, data, and the privacy of individuals. We have developed a novel framework for examining the privacy policies governing the data and information utilized by wearable devices to ensure that these IoT devices work in adherence to the NIST controls. Our approach entails constructing an ontology of the pertinent NIST regulations, extracting key regulation terms, establishing clear annotation guidelines, and reasoning over the developed ontology. Our primary contribution is developing a novel method to accurately retrieve the expectations, privacy risk mitigation areas, and the associated regulations using Natural Language Processing and Semantic Web concepts. Ultimately, vendors and users can use our publicly available ontology to semi-automate the privacy compliance process for wearables, ensuring that the data collected and transmitted through the devices are secure, thereby protecting both the devices and the individuals who use them.

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Do partner apps offer the same level of privacy protection? The case of wearable applications

Cited by 7 publications

References 11 publications

Is health consciousness and perceived privacy protection critical to use wearable health devices? Extending the model of goal-directed behavior

Is health consciousness and perceived privacy protection critical to use wearable health devices? Extending the model of goal-directed behavior

IoT Health Data in Electronic Health Records (EHR): Security and Privacy Issues in Era of 6G

Ensuring Privacy Policy Compliance of Wearables with IoT Regulations

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