Recognize Unfriendly Face book Approach in Online Social Network

Abstract

In today number of apps is increasing every day to compare the past few years. The owners also resort and fraudulent models to increase the ranking of the apps in the popularity list. There is limited understanding in the locations though the prevention of fraud has been widely is finding .With daily installs and use of third party apps is important reasons for the popularity and addictiveness of facebook. We developed Firefox users to the number of installed applications on their Facebook profiles. We present the temporal analysis of the Facebook applications’ installation and removal dataset collected user requirements. Online social networks (OSNs) one of the new vectors for cybercrime, and hackers is finding new ways. We present MyPageKeeper, a Facebook application is developed to protect Facebook users. We present results from the perspective of over 12K users who have installed MyPageKeeper and their roughly 2.4 million friends. Our purpose is creating a Facebook application and our goal is to develop a FRAppE Facebook’s Rigorous Application Evaluator which will help in detecting malicious applications on Facebook. Online Social Networks (OSN) takes third party apps to modify the user experience on the platforms. Such modifications are interesting communicating number of online friends and different models such as playing games. We take example facebook provides to developers an API that facilities app integration into Facebook user experience. Recently hackers are started taking advantage of the recognition of this third-party apps platform and deploying malicious applications. Malicious apps will give a profitable business for hackers given the recognition of OSNs. It is safe and secure information will not be added in our wall. Thus the Offensive words and posts are blocked with the help of dictionary using filters and it is not publicly posted to user wall.