Title :
Information privacy risk assessment of Facebook Graph Search
Author :
Nayak, Deveeshree ; Prince, Swaraj ; Robinson, Ricky
Author_Institution :
Univ. of Memphis, Memphis, TN, USA
Abstract :
This Social networking sites remain a popular method of interaction and channel of communication for modern society. As the number of social networking users increase, the size of social networks is significantly increasing. To enhance the searching technique, graph based search algorithm is adopted but the adoption of this searching technique has increased the security issues for the users and their data. There is a necessity for strong privacy tools which will protect the privacy of users in graph based search. In this poster, we present the privacy risks of Facebook (FB) Graph Search.
Keywords :
data privacy; graph theory; social networking (online); Facebook graph search; graph based search algorithm; information privacy risk assessment; privacy tools; social networking sites; social networking users; Facebook; Google; Privacy; Risk management; Search engines; Security; Facebook; Graph Based Search; Security; Social Networks;
Conference_Titel :
Science and Information Conference (SAI), 2014
Conference_Location :
London
Print_ISBN :
978-0-9893-1933-1
DOI :
10.1109/SAI.2014.6918309