scholarly journals Privacy-preserving Hybrid Peer-to-Peer Recommendation System Architecture - Locality-Sensitive Hashing in Structured Overlay Network

2015 ◽  
Author(s):  
Alexander Smirnov ◽  
Andrew Ponomarev
Keyword(s):  
System Architecture ◽  
Recommendation System ◽  
Overlay Network ◽  
Privacy Preserving ◽  
Peer To Peer ◽  
Locality Sensitive Hashing ◽  
Structured Overlay

scholarly journals A Peer-to-Peer Protocol and System Architecture for Privacy-Preserving Statistical Analysis

2016 ◽  
pp. 236-250 ◽  
Author(s):  
Katerina Zamani ◽  
Angelos Charalambidis ◽  
Stasinos Konstantopoulos ◽  
Maria Dagioglou ◽  
Vangelis Karkaletsis
Keyword(s):  
Statistical Analysis ◽  
System Architecture ◽  
Privacy Preserving ◽  
Peer To Peer

Personalized Resources Recommendation System Design for Teachers Training

2014 ◽  
Vol 644-650 ◽  
pp. 5765-5768
Author(s):  
Dan Dan Wei ◽  
Le Xing Qiu
Keyword(s):  
System Design ◽  
Communication Technology ◽  
Computer Technology ◽  
Mobile Communication ◽  
System Architecture ◽  
Recommendation System ◽  
Network Technology ◽  
Safeguard Mechanism ◽  
Mobile Communication Technology ◽  
Teachers Training

With the integration of computer technology, network technology and mobile communication technology continuously, the formation of personalized resource recommendation has become possible. Based on teachers' demand investigation and analysis, this paper analyzes the teacher system architecture, personalized resource recommendation and service safeguard mechanism.

Deep learning based Blockchain solution for preserving privacy in future vehicles

2020 ◽  
pp. 1-14
Author(s):  
Varsha R ◽  
Meghna Manoj Nair ◽  
Siddharth M. Nair ◽  
Amit Kumar Tyagi
Keyword(s):  
Deep Learning ◽  
Autonomous Vehicles ◽  
Recommendation System ◽  
Privacy Preserving ◽  
Smart Devices ◽  
The Road ◽  
Blockchain Technology ◽  
Technological Advances ◽  
Previous Decade ◽  
Smart Things

The Internet of Things (smart things) is used in many sectors and applications due to recent technological advances. One of such application is in the transportation system, which is of primary use for the users to move from one place to another place. The smart devices which were embedded in vehicles are useful for the passengers to solve his/her query, wherein future vehicles will be fully automated to the advanced stage, i.e. future cars with driverless feature. These autonomous cars will help people a lot to reduce their time and increases their productivity in their respective (associated) business. In today’s generation and in the near future, privacy preserving and trust will be a major concern among users and autonomous vehicles and hence, this paper will be able to provide clarity for the same. Many attempts in previous decade have provided many efficient mechanisms, but they all work only with vehicles along with a driver. However, these mechanisms are not valid and useful for future vehicles. In this paper, we will use deep learning techniques for building trust using recommender systems and Blockchain technology for privacy preserving. We also maintain a certain level of trust via maintaining the highest level of privacy among users living in a particular environment. In this research, we developed a framework that could offer maximum trust or reliable communication to users over the road network. With this, we also preserve privacy of users during traveling, i.e., without revealing identity of respective users from Trusted Third Parties or even Location Based Service in reaching a destination. Thus, Deep Learning based Blockchain Solution (DLBS) is illustrated for providing an efficient recommendation system.

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