Protection of Shared Data Among Multiple Users for Online Social Networks

被引:0
作者
Ganesh, D. [1 ]
RamaPrasad, V. V. [1 ]
机构
[1] Sree Vidyanikethan Engn Coll Tirupati, CSE, Tirupati, Andhra Prades, India
来源
2014 INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I) | 2014年
关键词
Social Networks; Facebook; Authorization;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consisting of attributes like geographic location, interests, and schools attended. Such profile information is used on the sites as a basis for grouping users, for sharing content, and for suggesting users who may benefit from interaction. Online social networks have increased become a de facto portal for billions of regular users like Face book Twitter Linked In world wide. These OSNs offer attractive means for Relations and sharing of information, but it also causes number of problems which are private to users. Suppose online social network allow users to restrict access to share data, at present there is no effective mechanism to provide privacy concerns over confidential data associated with many number of users. To share the profile, relation and content our analysis presents an approach to protect the shared data associated with multiple users in social networks. To capture the essence of multiparty authorization users requirement, along with a multiparty policy specification scheme & enforcement mechanism. Our access control model allows us to Extend the features of traditional mechanisms to perform various tasks such as analysis and design on new model, Comparative study provide usability study and problems in previous and advantages of our method.
引用
收藏
页码:768 / 773
页数:6
相关论文
共 50 条
[21]   Personality assessment using multiple online social networks [J].
Bhardwaj, Shally ;
Atrey, Pradeep K. ;
Saini, Mukesh K. ;
El Saddik, Abdulmotaleb .
MULTIMEDIA TOOLS AND APPLICATIONS, 2016, 75 (21) :13237-13269
[22]   Multiple Topics Misinformation blocking in Online Social Networks [J].
Pham, Dung V. ;
Duong, Hieu V. ;
Pham, Canh V. ;
Bao, Bui Q. ;
Nguyen, Anh V. .
PROCEEDINGS OF 2019 11TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE 2019), 2019, :175-180
[23]   Personality assessment using multiple online social networks [J].
Shally Bhardwaj ;
Pradeep K. Atrey ;
Mukesh K. Saini ;
Abdulmotaleb El Saddik .
Multimedia Tools and Applications, 2016, 75 :13237-13269
[24]   Social networks among users of mental health day care [J].
Catty, J ;
Goddard, K ;
White, S ;
Burns, T .
SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY, 2005, 40 (06) :467-474
[25]   An Overview About Privacy Protection of Facebook Social Network Users Data [J].
Ramdi, Mariam ;
Baida, Ouafae ;
Louzar, Oumaima ;
Lyhyaoui, Abdelouahid .
ADVANCED INTELLIGENT SYSTEMS FOR SUSTAINABLE DEVELOPMENT (AI2SD'2020), VOL 2, 2022, 1418 :1132-1145
[26]   Large-scale analysis of self-disclosure patterns among online social networks users: a Russian context [J].
Kisilevich, Slava ;
Ang, Chee Siang ;
Last, Mark .
KNOWLEDGE AND INFORMATION SYSTEMS, 2012, 32 (03) :609-628
[27]   OPIU: Opinion Propagation in Online Social Networks Using Influential Users Impact [J].
Mohammadinejad, Amir ;
Farahbakhsh, Reza ;
Crespi, Noel .
2018 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2018,
[28]   Examining privacy settings on online social networks: A protection motivation perspective [J].
Stern T. ;
Kumar N. .
International Journal of Electronic Business, 2017, 13 (2-3) :244-272
[29]   Artificial Intelligence in Detecting Signs of Depression Among Social Networks Users [J].
Gorrab, Abir ;
Bonnerot, Thomas .
INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 3, INTELLISYS 2024, 2024, 1067 :207-218
[30]   User Behavior on Online Social Networks: Relationships among Social Activities and Satisfaction [J].
Mican, Daniel ;
Sitar-Taut, Dan-Andrei ;
Mihut, Ioana-Sorina .
SYMMETRY-BASEL, 2020, 12 (10) :1-16