PDVLoc

Mun, Min; Kim, Donnie H.; Shilton, Katie; Estrin, Deborah; Hansen, Mark; Govindan, Ramesh

doi:10.1145/2523820

Cited by 16 publications

(5 citation statements)

References 39 publications

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“…(2018) Pervasive and Mobile Computing Computer Science ○ ●

McKenzie and Slind (2019) Applied Geography Social Sciences ○ ● Mokbel et al. (2016) Proceedings of the VLDB Endowment Computer Science ● ○ Mun et al. (2014) ACM Transactions on Sensor Networks Computer Networks & Communications ● ○

Nguyen (2020) Internet of Things Internet of Things Applications ● ○ Perentis et al.…”

Section: Methodology Developmentmentioning

confidence: 99%

Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy

Ribeiro‐Navarrete

Saura

Palacios‐Marqués

2021

Technological Forecasting and Social Change

162

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Controlling the coronavirus pandemic is triggering a cross-border strategy by which national governments attempt to control the spread of the COVID-19 pandemic. A response based on sharing facts about millions of private movements and a call to study information behavior during the global health crisis has been advised worldwide. The present study aims to identify the technologies to control the COVID-19 and future pandemics with massive data collection from users’ mobile devices. This research undertakes a Systematic Literature Review (SLR) of the studies about the currently available methods, strategies, and actions to collect and analyze data from users’ mobile devices. In a total of 76 relevant studies, 13 technologies that are classified based on the following aspect of data and data management have been identified: (1) security; (2) destruction; (3) voluntary access; (4) time span; and (5) storage. In addition, in order to understand how these technologies can affect user privacy, 25 data points that these technologies could have access to if installed through mobile applications have been detected. The paper concludes with a discussion of important theoretical and practical implications of preserving user privacy and curbing COVID-19 infections in the global public health emergency situation.

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“…(2018) Pervasive and Mobile Computing Computer Science ○ ●

Nguyen (2020) Internet of Things Internet of Things Applications ● ○ Perentis et al.…”

Section: Methodology Developmentmentioning

confidence: 99%

Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy

Ribeiro‐Navarrete

Saura

Palacios‐Marqués

2021

Technological Forecasting and Social Change

162

View full text Add to dashboard Cite

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“…The same authors later described an example of how to use personal data vaults in an application capturing and sharing location data (M. Y. Mun et al 2014).…”

Section: User-managed Data Vaultsmentioning

confidence: 99%

Vaultage: Automatic Generation of Secure Communication around Decentralised User-Managed Data Vaults.

Yohannis,

de la Vega,

Kolovos

2022

JOT

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The storage of user data in centralised systems is a standard procedure followed by online service providers such as social networks. This requires users to trust these providers, and, to some extent, users are not in complete control over their data. A potential way to bring back this control is the promotion of user-managed data vaults, i.e., encrypted storage systems located in personal devices. Enabling communication between these data vaults could allow creating decentralised applications where users decide which data to share, and with whom. Nevertheless, developing such decentralised applications requires a considerable amount of work, as well as expertise in deploying secure peer-to-peer communication systems. We present Vaultage, a model-based framework that can simplify the development of data vault-based applications by automatically generating a secure communication infrastructure from a domain-specific model. We demonstrate the core features of Vaultage through a decentralised social network application case study, and we report on the findings of evaluation experiments that show Vaultage's code generation capabilities and some performance analysis of the generated network components.

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“…Blockchain, often in combination with off-chain data, has gained much attention to address self-sovereignty and manage healthcare data [72][73][74]. With the freedom to choose the storage location, individuals could opt for personal data vaults (PDV) [75], their proprietary storage media (such available space in local disk), a hybrid storage solution [76] or other communal/cooperative in-house storage systems. For example, a hybrid storage solution may combine media owned by the user and remote resources owned by peers organised in a decentralised architecture.…”

Section: Technological Issuesmentioning

confidence: 99%

Collecting, exploring and sharing personal data: Why, how and where

Estrada-Galiñanes

Wac

2020

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New, multi-channel personal data sources (like heart rate, sleep patterns, travel patterns, or social activities) are enabled by ever increased availability of miniaturised technologies embedded within smartphones and wearables. These data sources enable personal self-management of lifestyle choices (e.g., exercise, move to a bike-friendly area) and, on a large scale, scientific discoveries to improve health and quality of life. However, there are no simple and reliable ways for individuals to securely collect, explore and share these sources. Additionally, much data is also wasted, especially when the technology provider ceases to exist, leaving the users without any opportunity to retrieve own datasets from "dead" devices or systems. Our research reveals evidence of what we term human data bleeding and offers guidance on how to address current issues by reasoning upon five core aspects, namely technological, financial, legal, institutional and cultural factors. To this end, we present preliminary specifications of an open platform for personal data storage and quality of life research. The Open Health Archive (OHA) is a platform that would support individual, community and societal needs by facilitating collecting, exploring and sharing personal health and QoL data.

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PDVLoc

Cited by 16 publications

References 39 publications

Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy

Towards a new era of mass data collection: Assessing pandemic surveillance technologies to preserve user privacy

Vaultage: Automatic Generation of Secure Communication around Decentralised User-Managed Data Vaults.

Collecting, exploring and sharing personal data: Why, how and where

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