| Title | Social Privacy Score Through Vulnerability Contagion Process |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Djoudi, Aghiles, Pujolle, Guy |
| Conference Name | 2019 Fifth Conference on Mobile and Secure Services (MobiSecServ) |
| Date Published | mar |
| Keywords | Current measurement, data privacy, Diffusion processes, Electronic mail, graph theory, graph-theoretical properties, Message service, Messaging services, Metrics, over-trusting vulnerable users, privacy, privacy awareness framework, privacy fields, privacy issues, privacy models and measurement, pubcrawl, security, security of data, sensitive information, social networking (online), social privacy score, vulnerability contagion process, vulnerability diffusion process, vulnerability measurement, vulnerable friends, vulnerable interactions, vulnerable social interactions |
| Abstract | The exponential usage of messaging services for communication raises many questions in privacy fields. Privacy issues in such services strongly depend on the graph-theoretical properties of users' interactions representing the real friendships between users. One of the most important issues of privacy is that users may disclose information of other users beyond the scope of the interaction, without realizing that such information could be aggregated to reveal sensitive information. Determining vulnerable interactions from non-vulnerable ones is difficult due to the lack of awareness mechanisms. To address this problem, we analyze the topological relationships with the level of trust between users to notify each of them about their vulnerable social interactions. Particularly, we analyze the impact of trusting vulnerable friends in infecting other users' privacy concerns by modeling a new vulnerability contagion process. Simulation results show that over-trusting vulnerable users speeds the vulnerability diffusion process through the network. Furthermore, vulnerable users with high reputation level lead to a high convergence level of infection, this means that the vulnerability contagion process infects the biggest number of users when vulnerable users get a high level of trust from their interlocutors. This work contributes to the development of privacy awareness framework that can alert users of the potential private information leakages in their communications. |
| DOI | 10.1109/MOBISECSERV.2019.8686721 |
| Citation Key | djoudi_social_2019 |
Social Privacy Score Through Vulnerability Contagion Process