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Towards individual-centric emergency management systems

Morales Tirado, Alba; Daga, Enrico and Motta, Enrico Towards individual-centric emergency management systems. In: 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) : Posters & Demos, Valencia, Spain, pp. 1411–1413.

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Intelligent Systems in Smart Cities capture and exchange a large variety of information, for example, environmental data, location, biometric and personal data, health records, among others, in order to improve the quality of services.

On one hand, such systems could represent an important, lifesaving resource for public services aimed at addressing emergency situations (e.g. firefighters, police), by providing access to a large amount of diverse information. On the other hand, they are also a threat with respect to data protection and privacy when disclosing all sort of personal and sensitive information.

Since not all the information available can be used or helpful for handling the emergency we have the challenge of ensuring that the least possible amount of sensitive information is exchanged, therefore reducing the risk of unwanted disclosure and misuse. Thus, being aware and include a privacy-by design approach when managing personal and sensitive data is essential in the context of emergency systems.

This work aims to analyse the privacy issues that Intelligent Systems face when sharing information with public services to attend emergency situations. By characterising these issues, we aim of informing the knowledge requirements for designing an Intelligent System that only allows valuable and helpful information to be exchanged, minimising personal and sensitive data disclosure.

Item Type: Conference or Workshop Item
Copyright Holders: 2019 ISCRAM2019
ISBN: 84-09-10498-9, 978-84-09-10498-7
ISSN: 2411-3387
Keywords: Knowledge-based system; emergency systems; privacy-aware system design; ontology engineering
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
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Item ID: 67550
Depositing User: Alba Morales Tirado
Date Deposited: 28 Oct 2019 10:27
Last Modified: 11 Nov 2019 18:00
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