Sharing mHealth Data via Named Data Networking

Zhang, Haitao; Wang, Zhehao; Scherb, Christopher; Marxer, Claudio; Burke, Jeff; Zhang, Lixia; Tschudin, Christian

doi:10.1145/2984356.2984379

Cited by 29 publications

(8 citation statements)

References 8 publications

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“…The discovery of required-quality data in heterogeneous service domains necessitates the existence of identifiers that are used and understood by both data consumers and data providers to enable data trading in the ICN-based data marketplace. We, therefore, employ hierarchical named identifiers for data and other IoT entities (e.g., devices, services, users, and applications) in a single identification scheme [24]. All IoT entities can be named using this identification scheme in a unified way.…”

Section: Quality-data Discovery Mechanism and Data Modelmentioning

confidence: 99%

An ICN-Based Data Marketplace Model Based on a Game Theoretic Approach Using Quality-Data Discovery and Profit Optimization

Seo

Kim

Krishnamachari

et al. 2023

IEEE Trans. Cloud Comput.

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In the age of data and machine learning, massive amounts of data produced throughout our society can be rapidly delivered to various applications through a broad spectrum of cloud services. However, the spectrum of applications has vastly different data quality requirements and Willingness-To-Pay(WTP), creating a general and complex problem matching consumer quality requirements and budgets with providers' data quality and price. This paper proposes the Information-Centric Networking(ICN)-based data marketplace to foster quality-data trading service to address the challenge above. We embed a WTP mechanism into an ICN-based data broker service running on cloud computing; therefore, a data consumer can request its desired data with a data name and quality requirement. By specifying nominal WTPs, data consumers can acquire data of the desired quality at the range of maximum nominal WTP. At the same time, a data broker can offer data of a suitable quality based on the profit-optimized price and the proposed service quality using ground-truth accuracy trained by data. We demonstrate that the data broker's profit can be almost doubled by using the optimal data size and budget determined by considering the one-leader-multiple-followers Stackelberg game. These results show that a value-added data brokering service can profitably facilitate data trading.

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Section: Quality-data Discovery Mechanism and Data Modelmentioning

confidence: 99%

An ICN-Based Data Marketplace Model Based on a Game Theoretic Approach Using Quality-Data Discovery and Profit Optimization

Seo

Kim

Krishnamachari

et al. 2023

IEEE Trans. Cloud Comput.

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“…[5], [7], [8] Data Transfer Data must be protected during transport, to avoid interception by third parties.…”

Section: Integritymentioning

confidence: 99%

“…Furthermore, solution [5] only provides a government-level approach, and it does not take into consideration the behavior of an mHealth system in a private entity. Likewise, solutions [4], [6] and [7] are not scalable for a high level of transactions.…”

Section: Introductionmentioning

confidence: 99%

Security model to protect patient data in mHealth systems through a Blockchain network

Díaz¹,

Armas²,

Molina³

et al. 2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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On this research paper we propose a security model to protect patient data on mobile health systems (mHealth) through a Blockchain network. This model is implemented under a Blockchain platform that allows collecting, sharing and integrating data in a safe way through a mobile app for mHealth devices, for medical care in Peruvian clinics. This security model consists of three stages: 1. Data collection, 2. Data processing, 3. System monitoring. It should be noted that the patient is autonomous in the management of his information, and that each user requires a single identifier to get access to the data. A test scenario was defined to validate the proposed model. Also, the study was conducted with a group of users through a health mobile app and the used medical data was provided by a hospital in Peru as anonymized research data. During the study, we validated the following topics: access control to the network, access to medical information of authorized users, data integrity on each transaction and performance evaluation of the system under a high user transaction load. Preliminary results show the system average response time is 4.72 seconds for 10,000 users carrying out requests simultaneously.

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“…The main aim of vehicular networks is to improve safety and efficiency in transportation. Vehicular networking shows its great importance in the deployment of vehicle-to-infrastructure network and also Vehicle-to-Vehicle communication network [2]. Now a days vehicular information network forms humancentric ecosystem which helps in application sensing is growing so rapidly for data collection.…”

Section: Vehicular Information Networkmentioning

confidence: 99%

“…In NDN communication is initiated by the consumer [1], [2]. Consumer sends the signaling message which is called as an Interest packet.…”

Section: Ndn In Vehicular Information Networkmentioning

confidence: 99%

Survey: IoT Vehicular Information Network

2015

IJSR

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Sharing mHealth Data via Named Data Networking

Cited by 29 publications

References 8 publications

An ICN-Based Data Marketplace Model Based on a Game Theoretic Approach Using Quality-Data Discovery and Profit Optimization

An ICN-Based Data Marketplace Model Based on a Game Theoretic Approach Using Quality-Data Discovery and Profit Optimization

Security model to protect patient data in mHealth systems through a Blockchain network

Survey: IoT Vehicular Information Network

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