A Multi-level Data Sensitivity Model for Mobile Health Data Collection Systems

Autor:	Marriette Katarahweire, Engineer Bainomugisha, Khalid A. Mughal
Rok vydání:	2019
Předmět:	Data collection Database Computer science business.industry media_common.quotation_subject Data classification Context (language use) Encryption computer.software_genre Conceptual design Use case Function (engineering) business Mobile device computer media_common
Zdroj:	Advances in Intelligent Systems and Computing ISBN: 9783030161866 WorldCIST (3)
DOI:	10.1007/978-3-030-16187-3_53
Popis:	Mobile Health Data Collection Systems (MHDCS) use a combination of encryption and user access control to grant or deny permissions to data collectors. However, the data in MHDCS is of diverse value and types which calls for different security measures. The level of sensitivity of data in electronic health is a function of the context characterised by the social environment, patient and content among others. When mobile devices are used for data collection and tracking participants, there is need for a more refined security system that allows finer controlled access to specific data elements. In this paper, we provide a conceptual design and prototype implementation for a data sensitivity model that enables attribute-based data access control, based on the level of sensitivity of the data involved. By allowing specific form data elements to have different security levels, we enhance the security of MHDCS and allow more use cases including the use of a single form to collect data for different stakeholders with diverse data needs and concerns.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::32a05477ff49e982686ef872905163d8 https://doi.org/10.1007/978-3-030-16187-3_53 Zobrazit plný text záznamu