Crowdsensing Multimedia Data: Security and Privacy Issues

Yan Li; Young Sik Jeong; Byeong Seok Shin; Jong Hyuk Park

doi:10.1109/MMUL.2017.4031306

Crowdsensing Multimedia Data: Security and Privacy Issues

Yan Li, Young Sik Jeong, Byeong Seok Shin, Jong Hyuk Park

Department of Computer Science and Artificial Intelligence

Research output: Contribution to journal › Article › peer-review

21 Scopus citations

Abstract

Recent smartphones are equipped with various sensors, such as an accelerometer, GPS, and a gravity sensor, and have high-performance wireless communication capabilities. Through the ubiquitous presence of powerful mobile devices, crowdsensing lets ordinary people collectively gather and share real-time multimedia data. Multimedia crowdsensing has made large-scale participatory sensing viable in a speedy and cost-efficient manner, but it also introduces some security and privacy concerns. Personally identifiable information of participants can be exposed while sharing individually owned sensor data. This article identifies security and privacy issues in multimedia crowdsensing and describes existing solutions that are designed to protect both data producers and consumers in multimedia crowdsensing. This article is part of a special issue on cybersecurity.

Original language	English
Article number	8100679
Pages (from-to)	58-66
Number of pages	9
Journal	IEEE Multimedia
Volume	24
Issue number	4
DOIs	https://doi.org/10.1109/MMUL.2017.4031306
State	Published - 1 Oct 2017

Keywords

big data
bioinformatics
crowdsensing
crowdsourcing
cybercrime
data analysis
graphics
mobile
multimedia crowd sensing
networking
pervasive computing
security
security and privacy issues

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MMUL.2017.4031306

Cite this

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Crowdsensing Multimedia Data: Security and Privacy Issues

Abstract

Keywords

UN SDGs

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