Enhancing the Privacy Protection in Locations-based Services through Hybrid LSTM-Reference-Cited by-同舟云学术

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Enhancing the Privacy Protection in Locations-based Services through Hybrid LSTM

Published:2022-12-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Current Development in Engineering and Technology (CCET)
language:
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Author:

Jain Vaibhav¹,Agarwal Ratish²,Shukla Piyush Kumar³

Affiliation:

1. IT Vertical, iNurture Education Pvt. Ltd.

2. Universtity Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya,Department of Information Technology,Bhopal,India

3. Universtity Institute of Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya,Department of Computer Science and Engineerning,Bhopal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079846/10079942/10080747.pdf?arnumber=10080747

Reference23 articles.

1. Smart Tree Health Assessment (THA) model using advanced computer vision techniques and machine learning. Inventors;jhaveri;Innovation in Australia,2021

2. PRIVACYGRID: Supporting Anonymous Location Queries in Mobile Environments

3. Privacy Preservation in Location-Based Services

4. Efficient and privacy-preserving location-based services over the cloud

5. A Full Privacy-Preserving Scheme for Location-Based Services

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