Personalized Location Privacy Preserving In Mobile Social Network

With the Development of mobile Internet and smartphones,people spend almost one fifth of whole day on the smartphone every day,and half of which be used for socialization.So people who playing with social application has become a daily habits.At any free time,including taking the subway,taking the bus,walking,and so on,people are looking at their mobile phones for Wei chatting,Micro blogging,writing story,discussing hot news,discovering new social network friends,which lead to emergence of Hibbing.Mobile social networks and smartphones has changed people's way of life,and bring the convenience to people's social lives.People enjoy it.However,the disclosure of personal privacy also gradually appear.In the mobile social networking environment,location is as an important and meaningful elements.More and more people pay more attention to location privacy,especially sensitive location.User's location privacy is attacked not only from the position of the service provider,as well as friends from the social network.So,how to balance the quality of service and protecting the privacy of the user's location is now as a hot issue.In this paper,we focuses on protecting location privacy to prevent friend from social networks attacking.The main research work and innovations are as follows:(1)First,this paper analyzes the model of user's location privacy attacked by social network friends.In view of preventing buddy attacks in location privacy protection model,the accuracy of the division of social relationships is the important factor of reducing the rate of location privacy disclosure.Therefore,this paper studied trust model for the division of social relationships,not only taking the effects of intimacy in social relations division into account,but also introduced social relations and historical relevance of the position to social relations division,which lay the foundation of reducing the rate of position privacy disclosure.Moreover,introducing the decay factor into trust model to enhance the dynamic ability of model,introducing the balanced factor to balance the intimacy level and associate degrees to improve comprehensive trust value.(2)Secondly,in order to meet the user's demands of protecting location privacy as well as individual needs of the user's location privacy,we use social relationship calculated by the trust model between the level and social values into the user's own set of privacy level to different positions friends generate different anonymous location accuracy range.To save this article published in the same position in the same location or position of the user's position continuous release time,the use of cylinders model algorithm to generate different levels of friends location.In addition,in order to protect the privacy of users on the same position and their release position your friends' locations,we use collaborative approaches between the user and friends to generate anonymous area,thus preventing the user's friends to attack the user's social relationships based on a user's location or a user privacy location privacy and the specific location of the attack has been attacked users of other friends' location privacy.