Abstract
The article focuses on formalization and identification of characteristics of users of social networks, which are treated as of great importance concerning national security. In particular, a group of individual identification data, its network identification, the state security characteristics groups are considered. Two components for describing network characteristics in terms of state security: the user activity log and social portrait have been included into the model. Characteristics that describe the level of user interaction with other users and with communities are regarded. The atomic components of the model have been reduced to the measuring values and data, which are suitable for direct storing in the relational database. A typical data model in the entity–relationship diagram format has been provided.
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Peleshchyshyn, A., Vus, V., Albota, S., Markovets, O. (2020). A Formal Approach to Modeling the Characteristics of Users of Social Networks Regarding Information Security Issues. In: Hu, Z., Petoukhov, S., He, M. (eds) Advances in Artificial Systems for Medicine and Education II. AIMEE2018 2018. Advances in Intelligent Systems and Computing, vol 902. Springer, Cham. https://doi.org/10.1007/978-3-030-12082-5_44
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DOI: https://doi.org/10.1007/978-3-030-12082-5_44
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