Academic literature on the topic 'Pervasive data sharing'

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Journal articles on the topic "Pervasive data sharing"

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Moreira, Waldir, and Paulo Mendes. "Pervasive data sharing as an enabler for mobile citizen sensing systems." IEEE Communications Magazine 53, no. 10 (2015): 164–70. http://dx.doi.org/10.1109/mcom.2015.7295479.

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Ramachandran, Umakishore, Martin Modahl, Ilya Bagrak, et al. "MediaBroker: A pervasive computing infrastructure for adaptive transformation and sharing of stream data." Pervasive and Mobile Computing 1, no. 2 (2005): 257–76. http://dx.doi.org/10.1016/j.pmcj.2005.03.003.

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Wilkinson, Daricia, Paritosh Bahirat, Moses Namara, et al. "Privacy at a Glance: The User-Centric Design of Glanceable Data Exposure Visualizations." Proceedings on Privacy Enhancing Technologies 2020, no. 2 (2020): 416–35. http://dx.doi.org/10.2478/popets-2020-0034.

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AbstractSmartphone users are often unaware of mobile applications’ (“apps”) third-party data collection and sharing practices, which put them at higher risk of privacy breaches. One way to raise awareness of these practices is by providing unobtrusive but pervasive visualizations that can be presented in a glanceable manner. In this paper, we applied Wogalter et al.’s Communication-Human Information Processing model (C-HIP) to design and prototype eight different visualizations that depict smartphone apps’ data sharing activities. We varied the granularity and type (i.e., data-centric or app-c
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Schwindenhammer, Désirée, Julius Francis, Mishal Gudka, et al. "Paradox incentive structures and rules governing sharing of coastal and marine data in Kenya and Tanzania: Lessons for the Western Indian Ocean." Western Indian Ocean Journal of Marine Science, no. 1/2022 (November 29, 2022): 33–46. http://dx.doi.org/10.4314/wiojms.si2022.1.3.

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Comprehensive and timely data-sharing is essential for effective ocean governance. This institutional analysis investigates pervasive data-sharing barriers in Kenya and Tanzania, using a collective action perspective. Existing data-sharing rules and regulations are examined in respect to boundaries, contextuality and incentive structures, compliance and settlement mechanisms, and integration across scales. Findings show that current institutional configurations create insufficient or incoherent incentives, simultaneously reducing and reproducing sharing barriers. Regional harmonisation efforts
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Niu, Yu, Ji-Jiang Yang, and Qing Wang. "Framework Design and Case Study for Privacy-Preserving Medical Data Publishing." International Journal of E-Health and Medical Communications 4, no. 4 (2013): 48–65. http://dx.doi.org/10.4018/ijehmc.2013100104.

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With the pervasive using of Electronic Medical Records (EMR) and telemedicine technologies, more and more digital healthcare data are accumulated from multiple sources. As healthcare data is valuable for both commercial and scientific research, the demand of sharing healthcare data has been growing rapidly. Nevertheless, health care data normally contains a large amount of personal information, and sharing them directly would bring huge threaten to the patient privacy. This paper proposes a privacy preserving framework for medical data sharing with the view of practical application. The framew
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KASPERBAUER, T. J., MICKEY GJERRIS, GUNHILD WALDEMAR, and PETER SANDØE. "Communicating Identifiability Risks to Biobank Donors." Cambridge Quarterly of Healthcare Ethics 27, no. 1 (2017): 123–36. http://dx.doi.org/10.1017/s0963180117000457.

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Abstract:Recent highly publicized privacy breaches in healthcare and genomics research have led many to question whether current standards of data protection are adequate. Improvements in de-identification techniques, combined with pervasive data sharing, have increased the likelihood that external parties can track individuals across multiple databases. This article focuses on the communication of identifiability risks in the process of obtaining consent for donation and research. Most ethical discussions of identifiability risks have focused on the severity of the risk and how it might be mi
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S. Rubí, Jesús N., and Paulo R. L. Gondim. "IoMT Platform for Pervasive Healthcare Data Aggregation, Processing, and Sharing Based on OneM2M and OpenEHR." Sensors 19, no. 19 (2019): 4283. http://dx.doi.org/10.3390/s19194283.

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Pervasive healthcare services have undergone a great evolution in recent years. The technological development of communication networks, including the Internet, sensor networks, and M2M (Machine-to-Machine) have given rise to new architectures, applications, and standards related to addressing almost all current e-health challenges. Among the standards, the importance of OpenEHR has been recognized, since it enables the separation of medical semantics from data representation of electronic health records. However, it does not meet the requirements related to interoperability of e-health device
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Wang, Hong Bo, and Zhong Wei Wang. "How to Realize the Heterogeneous Data Sharing through Grid Technology." Advanced Materials Research 314-316 (August 2011): 2037–41. http://dx.doi.org/10.4028/www.scientific.net/amr.314-316.2037.

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Grid technology has emerged as an important new field, distinguished from conventional distributed computing by its focus on large-scale resource sharing, innovative applications, and, in some cases, high-performance orientation. To date, grid technology has been effectively put to use in academic and research institutions to power high-performance and technical computing applications. Grid technology is increasingly being viewed as the next phase of distributed technology. Built on pervasive Internet standards, grid technology enables organizations to share computing and information resources
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Peng, Rui, Kien A. Hua, Hao Cheng, and Fei Xie. "An Internet Framework for Pervasive Sensor Computing." International Journal of Advanced Pervasive and Ubiquitous Computing 1, no. 3 (2009): 1–22. http://dx.doi.org/10.4018/japuc.2009090801.

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The rapid increase of sensor networks has brought a revolution in pervasive computing. However, data from these fragmented and heterogeneous sensor networks are easily shared. Existing sensor computing environments are based on the traditional database approach, in which sensors are tightly coupled with specific applications. Such static configurations are effective only in situations where all the participating sources are precisely known to the application developers, and users are aware of the applications. A pervasive computing environment raises more challenges, due to ad hoc user request
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Huang, Yaodong, Xintong Song, Fan Ye, Yuanyuan Yang, and Xiaoming Li. "Fair and Efficient Caching Algorithms and Strategies for Peer Data Sharing in Pervasive Edge Computing Environments." IEEE Transactions on Mobile Computing 19, no. 4 (2020): 852–64. http://dx.doi.org/10.1109/tmc.2019.2902090.

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Dissertations / Theses on the topic "Pervasive data sharing"

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Li, Ming. "User-Centric Security and Privacy Mechanisms in Untrusted Networking and Computing Environments." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-dissertations/323.

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"Our modern society is increasingly relying on the collection, processing, and sharing of digital information. There are two fundamental trends: (1) Enabled by the rapid developments in sensor, wireless, and networking technologies, communication and networking are becoming more and more pervasive and ad hoc. (2) Driven by the explosive growth of hardware and software capabilities, computation power is becoming a public utility and information is often stored in centralized servers which facilitate ubiquitous access and sharing. Many emerging platforms and systems hinge on both dimensions, suc
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Michel, Jonas Reinhardt. "Supporting device-to-device search and sharing of hyper-localized data." Thesis, 2015. http://hdl.handle.net/2152/31018.

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Supporting emerging mobile applications in densely populated environments requires connecting mobile users and their devices with the surrounding digital landscape. Specifically, the volume of digitally-available data in such computing spaces presents an imminent need for expressive mechanisms that enable humans and applications to share and search for relevant information within their digitally accessible physical surroundings. Device-to-device communications will play a critical role in facilitating transparent access to proximate digital resources. A wide variety of approaches exist that su
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Book chapters on the topic "Pervasive data sharing"

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Ouyang, Yi, Bin Guo, Xinjiang Lu, Qi Han, Tong Guo, and Zhiwen Yu. "CompetitiveBike: Competitive Prediction of Bike-Sharing Apps Using Heterogeneous Crowdsourced Data." In Green, Pervasive, and Cloud Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15093-8_17.

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Aihara, Kenro, Piao Bin, Hajime Imura, Atsuhiro Takasu, and Yuzuru Tanaka. "A Smart City Application for Sharing Up-to-date Road Surface Conditions Detected from Crowdsourced Data." In Distributed, Ambient and Pervasive Interactions. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58697-7_16.

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Zhao, Xinjian, Qianmu Li, Qi Wang, Shi Chen, Tengfei Li, and Nianzhe Li. "A Data Security Protection Method for Deep Neural Network Model Based on Mobility and Sharing." In Green, Pervasive, and Cloud Computing. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-9893-7_2.

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Parmiggiani, Elena, and Patrick Mikalef. "The Case of Norway and Digital Transformation over the Years." In Digital Transformation in Norwegian Enterprises. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-05276-7_2.

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AbstractNorway is generally characterized by a pervasive presence of digital services. It is currently undergoing a digital transformation across different domains, from daily life to public and private enterprises. In this introductory chapter, we first unpack the main drivers of digital transformation in Norway so far and its enabling conditions based on three illustrative examples: the development of Altinn, a digital platform supporting digital communication between citizens and public and private organizations; the evolution of BankID, Norway’s electronic identification system; and the cu
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Yau, Stephen S. "Trustworthy Data Sharing in Collaborative Pervasive Computing Environments." In Web and Information Security. IGI Global, 2006. http://dx.doi.org/10.4018/978-1-59140-588-7.ch013.

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Collaborative Pervasive Computing Applications (COPCAs) can greatly improve the investigative capabilities and productivity of scientists and engineers. Users of COPCAs usually form groups to collaboratively perform their tasks using various computing devices, including desktop computers, pocket PCs, and/or smart phones, over Mobile Ad hoc Networks (MANET), LAN, and the Internet. These users usually share various types of data, including research ideas (documents), experimental and statistical data (numerical data, graphics, stream audio/video). A very important issue for sharing data in Colla
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Ruotsalainen Pekka, Blobel Bernd, Nykänen Pirkko, Seppälä Antto, and Sorvari Hannu. "Framework Model and Principles for Trusted Information Sharing in Pervasive Health." In Studies in Health Technology and Informatics. IOS Press, 2011. https://doi.org/10.3233/978-1-60750-806-9-497.

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Trustfulness (i.e. health and wellness information is processed ethically, and privacy is guaranteed) is one of the cornerstones for future Personal Health Systems, ubiquitous healthcare and pervasive health. Trust in today's healthcare is organizational, static and predefined. Pervasive health takes place in an open and untrusted information space where person's lifelong health and wellness information together with contextual data are dynamically collected and used by many stakeholders. This generates new threats that do not exist in today's eHealth systems. Our analysis shows that the way s
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Nabelsi, Véronique, and Florina Stefanescu. "Impact of RFID Technology on Health Care Organizations." In Ubiquitous and Pervasive Computing. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-960-1.ch072.

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RFID technologies represent a common standard for data storage and retrieval that could improve collaboration and data sharing between noncompeting organizations. With the advent of RFID (radio frequency identification), organizations have the opportunity to rethink how their organization will be. Unlike companies in the United States and Europe which are mandated by large retailers or government departments, most Taiwan companies are investing in RFID without pressure. The article explores the factor affecting radio frequency identification adoption applications in Taiwan. Its objective is to
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Niu, Yu, Ji-Jiang Yang, and Qing Wang. "Framework Design and Case Study for Privacy-Preserving Medical Data Publishing." In Standards and Standardization. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8111-8.ch053.

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With the pervasive using of Electronic Medical Records (EMR) and telemedicine technologies, more and more digital healthcare data are accumulated from multiple sources. As healthcare data is valuable for both commercial and scientific research, the demand of sharing healthcare data has been growing rapidly. Nevertheless, health care data normally contains a large amount of personal information, and sharing them directly would bring huge threaten to the patient privacy. This paper proposes a privacy preserving framework for medical data sharing with the view of practical application. The framew
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Peng, Rui, Kien A. Hua, and Hao Cheng. "An Internet Framework for Pervasive Sensor Computing." In Emerging Pervasive and Ubiquitous Aspects of Information Systems. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-487-5.ch010.

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The rapid increase of sensor networks has brought a revolution in pervasive computing. However, data from these fragmented and heterogeneous sensor networks are easily shared. Existing sensor computing environments are based on the traditional database approach, in which sensors are tightly coupled with specific applications. Such static configurations are effective only in situations where all the participating sources are precisely known to the application developers, and users are aware of the applications. A pervasive computing environment raises more challenges, due to ad hoc user request
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Piller, Ingrid, Donna Butorac, Emily Farrell, Loy Lising, Shiva Motaghi-Tabari, and Vera Williams Tetteh. "Rethinking Language and Migration." In Life in a New Language. Oxford University Press, 2024. http://dx.doi.org/10.1093/oso/9780190084288.003.0008.

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Abstract This chapter shifts perspective away from migrants’ language learning and settlement experiences to implications of our research for receiving societies. These include the need to let go of the pervasive deficit perspective on migrants. Regarding employment, there are practical implications for improved migrant labor-market integration through early arrival support. Additionally, there are broader implications for better aligning struggles for decent work and migrant justice. Another implication relates to a much-needed life-cycle perspective on migrant language learning and settlemen
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Conference papers on the topic "Pervasive data sharing"

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Kiran, G. Ravi, Nakka Maisaiah, T. V. Divya, G. V. Subba Reddy, Sailaja Petikam, and M. K. Sharma. "Blockchain for Machine Learning: Security and Trust in Data Sharing." In 2025 International Conference on Pervasive Computational Technologies (ICPCT). IEEE, 2025. https://doi.org/10.1109/icpct64145.2025.10941369.

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P, Sundaram, M. Jayaprakash, Loganathan S, Elavarasi.T, Savitha N, and Moorthy Agoramoorthy. "Blockchain-based Privacy-Preserving Protocols for Secure IoT Data Sharing: An Implementation Review." In 2025 5th International Conference on Pervasive Computing and Social Networking (ICPCSN). IEEE, 2025. https://doi.org/10.1109/icpcsn65854.2025.11036047.

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Song, Xintong, Yaodong Huang, Qian Zhou, Fan Ye, Yuanyuan Yang, and Xiaoming Li. "Pervasive edge data sharing in MANET." In 2017 IEEE Conference on Computer Communications: Workshops (INFOCOM WKSHPS). IEEE, 2017. http://dx.doi.org/10.1109/infcomw.2017.8116365.

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"Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine." In International Conference on Knowledge Management and Information Sharing. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0004141500810088.

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Malu, Meethu, and Leah Findlater. "Sharing automatically tracked activity data." In PervasiveHealth '17: 11th EAI International Conference on Pervasive Computing Technologies for Healthcare. ACM, 2017. http://dx.doi.org/10.1145/3154862.3154864.

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Lalouani, Wassila, Mohamed Younis, Mohammad Ebrahimabadi, and Naghmeh Karimi. "Robust and Efficient Data Security Solution for Pervasive Data Sharing in IoT." In 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2022. http://dx.doi.org/10.1109/ccnc49033.2022.9700633.

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Song, Xinong, Yaodong Huang, Qian Zhou, Fan Ye, Yuanyuan Yang, and Xiaoming Li. "Content Centric Peer Data Sharing in Pervasive Edge Computing Environments." In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). IEEE, 2017. http://dx.doi.org/10.1109/icdcs.2017.26.

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Shanmugarasa, Yashothara, Hye-Young Paik, Salil S. Kanhere, and Liming Zhu. "Towards Automated Data Sharing in Personal Data Stores." In 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, 2021. http://dx.doi.org/10.1109/percomworkshops51409.2021.9431001.

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Kim, Keonhyeong, and Im Y. Jung. "Encouraging Data Sharing for Safe Autonomous Driving." In 2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, 2020. http://dx.doi.org/10.1109/percomworkshops48775.2020.9156209.

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Kong, Quan, and Takuya Maekawa. "Sharing training data among different activity classes." In UbiComp '13: The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing. ACM, 2013. http://dx.doi.org/10.1145/2494091.2495991.

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