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Privacy Mindset for Developing Internet of Things Applicationsfor Social Sensing: Software Engineering Challenges
IEEE.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-1902-9877
2017 (English)In: SocialSens'17: Proceedings of the 2nd International Workshop on Social Sensing, Pittsburgh, PA, USA — April 18 - 21, 2017, New York: ACM Digital Library, 2017, 103- p.Conference paper, Published paper (Refereed)
Abstract [en]

Social sensing aims to collect sensory data by using human population as sensor carriers (e.g., location), sensor operators (e.g., taking photos), and sensors themselves (e.g., Twitter). The Internet of Things (IoT) applications facilitate social sensing tasks. However, designing and developing IoT applications is much more complicated than designing and developing desktop, mobile, or web applications. The IoT applications require both software and hardware (e.g., sensors and actuators) to work together on multiple different type of nodes (e.g., micro-controllers, system-on-chips, mobile phones, single-board computers, cloud platforms) with different capabilities under different conditions.

Place, publisher, year, edition, pages
New York: ACM Digital Library, 2017. 103- p.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-63425DOI: 10.1145/3055601.3055621Scopus ID: 2-s2.0-85019016353ISBN: 978-1-4503-4977-2 (electronic)OAI: oai:DiVA.org:ltu-63425DiVA: diva2:1096593
Conference
2nd International Workshop on Social Sensing, Pittsburgh, PA, USA, April 18 - 21, 2017
Available from: 2017-05-18 Created: 2017-05-18 Last updated: 2017-11-24Bibliographically approved

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Vasilakos, Athanasios

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