A privacy-preserving protocol for continuous and dynamic data collection in IoT enabled mobile app recommendation system (MARS)
出版年份 2020 全文链接
标题
A privacy-preserving protocol for continuous and dynamic data collection in IoT enabled mobile app recommendation system (MARS)
作者
关键词
Mobile app recommendation system, Privacy-preserving protocol, Data collection, Social-influence, Reversible integer transform (RIT), Internet of Things (IoT)
出版物
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
Volume 174, Issue -, Pages 102874
出版商
Elsevier BV
发表日期
2020-11-04
DOI
10.1016/j.jnca.2020.102874
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Trust-based recommendation systems in Internet of Things: a systematic literature review
- (2019) Venus Mohammadi et al. Human-centric Computing and Information Sciences
- An efficient privacy preserving protocol for dynamic continuous data collection
- (2019) Haider Sajjad et al. COMPUTERS & SECURITY
- Privacy-Preserving Content-Oriented Wireless Communication in Internet-of-Things
- (2018) Keke Gai et al. IEEE Internet of Things Journal
- Toward Privacy-Preserving Personalized Recommendation Services
- (2018) Cong Wang et al. Engineering
- A novel application recommendation method combining social relationship and trust relationship for future internet of things
- (2018) Chunhua Ju et al. MULTIMEDIA TOOLS AND APPLICATIONS
- LPTD: Achieving lightweight and privacy-preserving truth discovery in CIoT
- (2018) Chuan Zhang et al. Future Generation Computer Systems-The International Journal of eScience
- An overview of recommender systems in the internet of things
- (2018) Alexander Felfernig et al. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
- Towards Privacy Preserving IoT Environments: A Survey
- (2018) Mohamed Seliem et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- An anonymization protocol for continuous and dynamic privacy-preserving data collection
- (2017) Soohyung Kim et al. Future Generation Computer Systems-The International Journal of eScience
- Version-sensitive mobile App recommendation
- (2017) Da Cao et al. INFORMATION SCIENCES
- Mobile recommendations based on interest prediction from consumer's installed apps–insights from a large-scale field study
- (2017) Remo Manuel Frey et al. INFORMATION SYSTEMS
- Mining smartphone data for app usage prediction and recommendations: A survey
- (2017) Hong Cao et al. Pervasive and Mobile Computing
- A reversible data transform algorithm using integer transform for privacy-preserving data mining
- (2016) Chen-Yi Lin JOURNAL OF SYSTEMS AND SOFTWARE
- FakeMask: A Novel Privacy Preserving Approach for Smartphones
- (2016) Lichen Zhang et al. IEEE Transactions on Network and Service Management
- FakeMask: A Novel Privacy Preserving Approach for Smartphones
- (2016) Lichen Zhang et al. IEEE Transactions on Network and Service Management
- New chaotic encryption algorithm based on chaotic sequence and plain text
- (2014) Xing-Yuan Wang et al. IET Information Security
- Which App? A recommender system of applications in markets: Implementation of the service for monitoring users’ interaction
- (2012) Enrique Costa-Montenegro et al. EXPERT SYSTEMS WITH APPLICATIONS
- TruBeRepec: a trust-behavior-based reputation and recommender system for mobile applications
- (2011) Zheng Yan et al. Personal and Ubiquitous Computing
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started