Users’ perceived control, trust and expectation on privacy settings of smartphone

Yun Zhou*, Alexander Raake, Tao Xu, Xuyun Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

4 Citations (Scopus)


A common issue is that a large number of authorized apps use important and sensitive personal information without arousing users’ full awareness. Existing schemes for privacy protection on smartphones try to provide users with privacy settings to control privacy leakage. Privacy settings on smartphone are intended to inform users about risks of privacy leakage and let users take over control of smartphone. Therefore, it is essential to understand and measure how much users perceive and trust these settings. To this end, we design and conduct a fine-grained online survey with 222 respondents. We collect the demographics as well as users’ smartphone usage, covering not only participants’ basic background information like age, gender, job, but also time of smartphone use per day, respective importance and sensitivity level of personal data, and their smartphone OSs. In this paper, we investigate users’ current privacy perception and protection on smartphone in different groups, discussing participants’ responses to (1) Rating the importance and sensitivity of personal information; (2) Trust on existing privacy protection; (3) Perceived control on smartphone; (4) Frequency of searching privacy knowledge; (5) Concerns about manufacturer and third-party company’s behaviors on personal data and decision.

Original languageEnglish
Title of host publicationCyberspace Safety and Security
Subtitle of host publication9th International Symposium, CSS 2017, Proceedings
EditorsSheng Wen, Wei Wu, Aniello Castiglione
PublisherSpringer, Springer Nature
Number of pages15
ISBN (Electronic)9783319694719
ISBN (Print)9783319694702
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event9th International Symposium on Cyberspace Safety and Security, CSS 2017 - Xi'an, China
Duration: 23 Oct 201725 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10581 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th International Symposium on Cyberspace Safety and Security, CSS 2017


  • Privacy
  • Smartphone
  • Survey
  • Trust


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