subject predicate object context
67550 Creator c9aa7f2e582d191ed728ad414c5ea711
67550 Creator 0fe416343d163a372e32910118bdbe76
67550 Creator f57ba4bcd4dbefa588a255b4ef77c7fd
67550 Is Part Of repository
67550 Is Part Of p24113387
67550 abstract 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.
67550 authorList authors
67550 presentedAt ext-6917fe659c1e890c4665311df1c56c79
67550 status peerReviewed
67550 uri http://data.open.ac.uk/oro/document/983166
67550 uri http://data.open.ac.uk/oro/document/983167
67550 uri http://data.open.ac.uk/oro/document/983182
67550 uri http://data.open.ac.uk/oro/document/983183
67550 uri http://data.open.ac.uk/oro/document/983184
67550 uri http://data.open.ac.uk/oro/document/983185
67550 uri http://data.open.ac.uk/oro/document/984455
67550 type AcademicArticle
67550 type Article
67550 label Morales Tirado, Alba ; Daga, Enrico and Motta, Enrico Towards a privacy aware information system for emergency response. In: 16th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2019) : Posters & Demos, Valencia, Spain, pp. 1411–1413.
67550 Title Towards a privacy aware information system for emergency response
67550 in dataset oro