Probabilistic relational approach to representing "informational system – personnel – critical documents" complex model
Keywords:
socio-engineering attack, informational system, userAbstract
One of the main problems of researches in the field of socio-engineering attacks is the development of analysis algorithms (assessment) of information system's users' protection estimated on the basis of computing complexity. According to preliminary estimates the application of probabilistic relational algorithm will essentially reduce computing complexity of a program complex. Use of the specified approach will also allow to increase flexibility in a task of estimation of criticality of the documents available in system and chances of successful realization of attacks, in description of communications’ system and accesses among actual components of a complex «information system – personnel – critical documents», and among specified components and the malefactor. Relational models will probably allow to use effective computational methods, implemented in modern DBSM for fast SQL-links implementation.References
Published
2012-03-01
How to Cite
Azarov, A., Tulupyeva, T., Filchenkov, A., & Tulupyev, A. (2012). Probabilistic relational approach to representing "informational system – personnel – critical documents" complex model. SPIIRAS Proceedings, 1(20), 57-71. https://doi.org/10.15622/sp.20.3
Section
Articles
Authors who publish with this journal agree to the following terms:
Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
