Enhanced Privacy and Surveillance for Online Social Networks

被引:0
作者
Yaramasa, Teja [1 ]
Kishore, G. Krishna [1 ]
机构
[1] Velagapudi Ramakrishna Siddhartha Engn Coll Vijay, Dept Comp Sci & Engn, Vijayawada, India
来源
PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2014, VOL 2 | 2015年 / 328卷
关键词
OSN; Privacy; Surveillance; Institutional privacy; Social privacy; Hashtable;
D O I
10.1007/978-3-319-12012-6_21
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An Online Social Network (OSN) is a platform to build social networks or social relations among people. The OSN's allow users to share interests, activities, social details and professional details. Some of the OSN's that are currently being used are Facebook, Twitter, Orkut etc. The major problem of social networks is providing privacy to the users. Social privacy, institutional privacy and surveillance are the key problems that are being faced by the OSN users. We developed a novel method to provide institutional privacy and surveillance to the OSN users. We introduced a new algorithm HSurveillance, which effectively implements the surveillance in OSN. The institutional privacy is provided to the users using locking mechanism. We believe that the proposed method will resolve the key security and privacy problems experienced by the OSN users.
引用
收藏
页码:189 / 196
页数:8
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