Fuzzy ontology structure for information leaks and ISC

Authors

  • Oleh Kozlenko Igor Sikorsky Kiev Polytechnic Institute, Ukraine

DOI:

https://doi.org/10.20535/tacs.2664-29132019.1.169083

Abstract

The article proposes a variant of the fuzzy ontology for complex information security systems (CISS) analysis, which focuses on the most common variants scenarios for information leaks and on the peculiarities of information security culture. The analysis of CISS is based on many factors (attacks on the system, etc.), among which can be not only technical flaws . Common mistakes and misunderstandings in identifying security incidents and how to respond to them is also important. Therefore, for the basic protection of the system, it is necessary to identify many factors and the structure, which will identify these factors, scenarios, and the relationship between the security elements for future use will greatly simplify the understanding and construction of the CISS. This structure can be used scenarios for information leaks, taking into consideration information security culture and to further determination of the overall formal assessment of the organization’s security.

Downloads

Published

2019-05-29

Issue

Vol. 1 No. 1 (2019)

Section

Algorithms and methods of cyber attacks prevention and counteraction

License

Authors who publish with this journal agree to the following terms:

  1. 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.

  2. 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.

  3. 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).