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A privacy-preserving protocol for continuous and dynamic data collection in IoT enabled mobile app recommendation system (MARS)

  • Published:2021-01 Issue: Volume:174 Page:102874
  • ISSN:1084-8045
  • Container-title:Journal of Network and Computer Applications
  • language:en
  • Short-container-title:Journal of Network and Computer Applications

Author:

Beg Saira,Anjum Adeel,Ahmad Mansoor,Hussain Shahid,Ahmad Ghufran,Khan Suleman,Choo Kim-Kwang Raymond

Funder

National Natural Science Foundation of China

Cloud Technology Endowed Professorship

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference42 articles.

1. All friends are not created equal: an interaction intensity based approach to privacy in online social networks;Banks,2009

2. Mining smartphone data for app usage prediction and recommendations: a survey;Cao;Pervasive Mob. Comput.,2017

3. Version-sensitive mobile App recommendation;Cao;Inf. Sci.,2017

4. Recommendation of Mobile Applications based on social and contextual user information;Chamorro-Vela;Procedia Comput. Sci.,2017

5. “Which App? A recommender system of applications in markets: implementation of the service for monitoring users' interaction;Costa-Montenegro;Expert Syst. Appl.,2012

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1. Optimization Scheme for Privacy Protection on Cloud Platforms Based on Data Classification;2024 IEEE 7th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC);2024-03-15

2. Exploring Comprehensive Privacy Solutions for Enhancing Recommender System Security and Utility;Lecture Notes in Networks and Systems;2024

3. T&TRS: robust collaborative filtering recommender systems against attacks;Multimedia Tools and Applications;2023-09-18

4. Semantic similarity for mobile application recommendation under scarce user data;Engineering Applications of Artificial Intelligence;2023-05

5. Privacy-Preserving Personalized Fitness Recommender System P 3 FitRec : A Multi-level Deep Learning Approach;ACM Transactions on Knowledge Discovery from Data;2023-04-11
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