Social Networking Site Privacy Assurance and User Privacy Protection Behavior--Model

2020 ◽  
Author(s):  
Reza Mousavi ◽  
Rui Chen ◽  
Dan J. Kim ◽  
Kuanchin Chen
Keyword(s):  
Social Networking ◽  
Privacy Protection ◽  
Social Networking Site ◽  
Behavior Model ◽  
User Privacy

User privacy protection in pervasive social networking applications using PCO

2012 ◽  
Vol 1 (3) ◽  
pp. 242 ◽  
Author(s):  
Farzana Rahman ◽  
Md. Endadul Hoque ◽  
Ferdaus Ahmed Kawsar ◽  
Sheikh Iqbal Ahamed
Keyword(s):  
Social Networking ◽  
Privacy Protection ◽  
User Privacy

Effects of Body Image on Internet Social Networking Site Self-Disclosure

2012 ◽  
Author(s):  
Lila M. Inglima ◽  
Jason C. Zeltser ◽  
Eric Schmidt ◽  
M. Blair Chinn ◽  
Katherine Price ◽  
...  
Keyword(s):  
Body Image ◽  
Social Networking ◽  
Social Networking Site ◽  
Self Disclosure

Design and Implementation of a Social Networking Site

2014 ◽  
Vol 9 (2) ◽  
pp. 1-8
Author(s):  
Hana Esmaeel ◽  
Mustafa Laith Hussein ◽  
Afkar Abdul-Ellah ◽  
Abdul Jabbar
Keyword(s):  
Social Networking ◽  
Social Networking Site ◽  
Design And Implementation

The Protection of User Preference Privacy in Personalized Information Retrieval: Challenges and Overviews

Libri ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Zongda Wu ◽  
Chenglang Lu ◽  
Youlin Zhao ◽  
Jian Xie ◽  
Dongdong Zou ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Privacy Protection ◽  
User Preference ◽  
User Privacy ◽  
Server Side ◽  
Algorithm Efficiency ◽  
Important Study ◽  
Basic Reference ◽  
Complete Set ◽  
Technical Features

Abstract This paper reviews a large number of research achievements relevant to user privacy protection in an untrusted network environment, and then analyzes and evaluates their application limitations in personalized information retrieval, to establish the conditional constraints that an effective approach for user preference privacy protection in personalized information retrieval should meet, thus providing a basic reference for the solution of this problem. First, based on the basic framework of a personalized information retrieval platform, we establish a complete set of constraints for user preference privacy protection in terms of security, usability, efficiency, and accuracy. Then, we comprehensively review the technical features for all kinds of popular methods for user privacy protection, and analyze their application limitations in personalized information retrieval, according to the constraints of preference privacy protection. The results show that personalized information retrieval has higher requirements for users’ privacy protection, i.e., it is required to comprehensively improve the security of users’ preference privacy on the untrusted server-side, under the precondition of not changing the platform, algorithm, efficiency, and accuracy of personalized information retrieval. However, all kinds of existing privacy methods still cannot meet the above requirements. This paper is an important study attempt to the problem of user preference privacy protection of personalized information retrieval, which can provide a basic reference and direction for the further study of the problem.

A dummy-based user privacy protection approach for text information retrieval

2020 ◽  
Vol 195 ◽  
pp. 105679
Author(s):  
Zongda Wu ◽  
Shigen Shen ◽  
Xinze Lian ◽  
Xinning Su ◽  
Enhong Chen
Keyword(s):  
Information Retrieval ◽  
Privacy Protection ◽  
User Privacy ◽  
Text Information ◽  
Text Information Retrieval
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