论文信息 - On Privacy and Security in Social Media – A Comprehensive Study☆

On Privacy and Security in Social Media – A Comprehensive Study☆

Abstract Social networks have become a part of human life. Starting from sharing information like text, photos, messages, many have started share latest news, and news related pictures in the Media domain, question papers, assignments, and workshops in Education domain, online survey, marketing, and targeting customers in Business domain, and jokes, music, and videos in Entertainment domain. Because of its usage by Internet surfers in all possible ways, even wee would mention the social networking media as the current Internet culture. While enjoying the information sharing on Social Medias, yet it requires a great deal for security and privacy. The users’ information that are to be kept undisclosed, should be made private.

[1] Xiangbin Yan,et al. Information disclosure on social networking sites: An intrinsic-extrinsic motivation perspective , 2015, Comput. Hum. Behav..

[2] Gail-Joon Ahn,et al. Security and Privacy in Social Networks , 2011, IEEE Internet Comput..

[3] M. Truyens,et al. Privacy and social networks , 2010, Comput. Law Secur. Rev..

[4] Jean-Noël Ezingeard,et al. The role of security notices and online consumer behaviour: An empirical study of social networking users , 2015, Int. J. Hum. Comput. Stud..

[5] Robert H. Deng,et al. Privacy leakage analysis in online social networks , 2015, Comput. Secur..

[6] Yuan Li,et al. Theories in online information privacy research: A critical review and an integrated framework , 2012, Decis. Support Syst..

[7] Norita Md Norwawi,et al. User Oriented Privacy Model for Social Networks , 2014 .

[8] Andrea Everard,et al. Privacy Concerns Versus Desire for Interpersonal Awareness in Driving the Use of Self-Disclosure Technologies: The Case of Instant Messaging in Two Cultures , 2011, J. Manag. Inf. Syst..

[9] Mizuho Iwaihara,et al. Associations between privacy, risk awareness, and interactive motivations of social networking service users, and motivation prediction from observable features , 2015, Comput. Hum. Behav..