Detecting privacy compliance of mobile applications from the perspective of the "minimum necessary" principle
To comply with legal requirements for personal data privacy protection, mobile App developers typically disclose their data collection practices to users through privacy policies. Researchers have proposed various methods using natural language processing (NLP) techniques to analyze privacy policy t...
Saved in:
Main Authors: | YU Peihou, XU Tianchen, SUN Wenqian, CHEN Yunfang, YU Le, ZHANG Wei |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2024-12-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2024084 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Necessary Accidental
by: Ashraf Jamal
Published: (2021-06-01) -
Privacy policy compliance detection and analysis based on knowledge graph
by: ZHANG Xiheng, et al.
Published: (2024-12-01) -
Necessary and sufficient conditions for the BRI success
by: Yongjun Chen, et al.
Published: (2022-12-01) -
Scalable and Privacy-Preserving Inter-AS Routing Through Machine-Learning-Based Graph Pruning
by: Davide Andreoletti, et al.
Published: (2025-01-01) -
A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy
by: Muhammad Adnan, et al.
Published: (2025-01-01)