Author(s)

ZhenZhen Wu, YanFei Yuan^*

Affiliation(s)

College of Cyber Security, Tarim University, Alar 843301, Xinjiang, China.

Corresponding Author

YanFei Yuan

ABSTRACT

The publication of trajectory data in mobile applications raises significant privacy concerns for users. When combined with behavioral pattern analysis, the semantic similarity of published trajectories can be exploited by attackers to infer users' travel motivations, posing substantial risks to personal privacy. In this paper, we simulate such attacks by proposing an observation-based algorithm to infer user travel behavior and develop a corresponding privacy risk quantification mechanism. Extensive experiments on real-world datasets validate the effectiveness of the proposed risk quantification approach, providing a foundation for the further development of semantic privacy protection schemes.

KEYWORDS

Mobile application; Behavioral semantics; Privacy inference; Risk quantification

CITE THIS PAPER

ZhenZhen Wu, YanFei Yuan. Semantic privacy risks in social trajectory publication. Journal of Computer Science and Electrical Engineering. 2025, 7(7): 66-70. DOI: https://doi.org/10.61784/jcsee3103.

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