Customized Share Level Monitoring System for Users in OSN-Third Party Applications

作     者：T.Shanmuigapriya S.Swamynathan Thiruvaazhi Uloli 

作者机构：Department of Information TechnologySSN College of EngineeringKalavakkamChennai603110India Department of Information Science and TechnologyAnna UniversityChennai600025India Department of Information Science and EngineeringKumaraguru College of TechnologyCoimbatore641049India 

出 版 物：《Computer Systems Science & Engineering》 (计算机系统科学与工程（英文）)

年 卷 期：2022年第43卷第12期

页      面：1327-1339页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Online social networks third party applications privacy gaussian mixture model fuzzy inference 

摘      要：Preserving privacy of the user is a very critical requirement to be metwith all the international laws like GDPR, California privacy protection act andmany other bills in place. On the other hand, Online Social Networks (OSN)has a wide spread recognition among the users, as a means of virtual communication. OSN may also acts as an identity provider for both internal and externalapplications. While it provides a simplified identification and authentication function to users across multiple applications, it also opens the users to a new spectrum of privacy threats. The privacy breaches costs to the users as well as tothe OSN. Despite paying millions of dollars as fine every year, the OSN hasnot done any significant changes, as data is the fuel and what it loses as fine isfar less compared to the money OSN makes out of the shared data. In this work,we have discussed a wide range of possible privacy threats and solutions prevailing in OSN-Third Party Application (TPA) data sharing scenario. Our solutionmodels the behavior of the user, as well as TPA and pinpoints the avenues of oversharing to the users, thereby limiting the privacy loss of the user.