Overcoming Information Inference Attacks and Protecting Shared Data in OSN
N. Hema Priya, S. Snekha Sri · 2014
Privacy preservation is now becoming essential in today's Internet world. Nowadays Online Social networks are becoming most popular and they are said to grow rapidly in near future. These social networks provide many means for sharing information among varied users. Large amount of data are being shared through these networks, which brings along with it a high complex risk of inconsistency and security issues. The information that are shared through these social networks are not secured and there is a high risk of data being hacked or lost. Though these networks intend to provide many ways of security and privacy over the shared data there are still ways by which the information can get corrupted. The main problem occurs due to sharing of resources among friends which puts the resource into more vulnerable condition. There are many learning algorithms available that can easily break the security techniques which are created to protect the data. For the above mentioned problem there are many solutions that have been discovered and still many in progress. There are humungous works that has been undertaken because social networks are said to be growing rapidly and as the amount of data or information the security breaches related to these valuable resources also increases. Thus in this paper we have introduced a new concept of privacy providing security to the information's that are being shared in social networks especially photo sharing. Because images or photos uploaded may be highly sensitive and corruption of such resource can lead to unexpected misleading. As the result of various analysis it is found that lot of breaches happens due to unwanted links associated with the resource. Thus we have introduced the concept of removing data along with the links that are associated with such sensitive resources.