| With the continuous development of online social media platform,people are gaining more and more opportunities to show themselves and broaden their social scope.At the same time,more personal information will also be exposed to the public.Due to the fact that public awareness of privacy varies widely,it is necessary to make an objective and comprehensive assessment of the risks that online social behavior may bring to the users.Based on the ideology of trust transfer,this paper proposes a user privacy risk assessment algorithm based on the Trust-Aware framework,which introduces two parameters — privacy awareness and trust-awareness.And the algorithm also integrates the subjective needs of users in the actual application situation,obtains all the users' data in the Sina Weibo,quantitatively assess the risk of privacy leakage that may be caused by users' online social behavior from three aspects: user's privacy awareness,social risk and content risk.The assessment model will also generate a visual assessment report in forms of charts,and give some specific suggestions combination with the results of the assesment to help user ful y and objectively recognize the potential privacy leakage in the online social network,find out the weakest link in the social networks and establish the correct sense of privacy.Through the model test,the algorithm proposed in this paper achieves the quantitative measurement of the risk level,it can accurately and comprehensively summarize the overall online social behavior of users,and assess the probability of privacy leakage through OSNs.Practical operation shows that the system has good stability.Compared with the existing evaluation models,it effectively combine the influenc of user's needs on the evaluation of prvacy leakage,the accuracy and computational efficience of the results are also improved.The algorithm provides a new idea for online social platform service providers to protect their users' data,and has practical and promotional value. |
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