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Privacy mindset for developing Internet of Things applications for social sensing: software engineering challenges

Perera, Charith and Vasilakos, Athanasios 2017. Privacy mindset for developing Internet of Things applications for social sensing: software engineering challenges. Presented at: 2nd International Workshop on Social Sensing (SocialSens 2017), Pittsburgh, PA USA, 21 April 2017. 2nd International Workshop on Social Sensing. ACM, 10.1145/3055601.3055621

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Abstract

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.

Item Type: Conference or Workshop Item (Keynote)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA76 Computer software
Publisher: ACM
ISBN: 9781450349772
Date of Acceptance: 10 March 2017
Last Modified: 11 Aug 2020 15:00
URI: http://orca.cf.ac.uk/id/eprint/134084

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