
Testing process for penetration into computer systems mathematical model was developed in the article. The proposed model differs from the known by computer systems specialized information platforms security testing capabilities, which made it possible to estimate the penetration test algorithm execution time falling within a given interval probability. The proposed testing process for penetration into computer systems mathematical model was further developed (modified). Modified model distinctive feature is the Erlang distribution as the main one in the state transition processes mathematical formalization. This made it possible on the one hand to unify the mathematical model and present the testing process at a higher level of the testing hierarchy, on the other hand to simplify it 1.7 times. A security testing mathematical model was developed in order to estimate the simulation results accuracy, based on the known GERT-networks simplification and modification approach. Testing algorithms execution time value mathematical expectation values are obtained and estimated. Comparative modeling results investigations have shown the study values comparability for all three approaches of security testing process mathematical formalization. This confirmed the hypothesis that it is advisable to use a unified mathematical formalization approach, which was implemented in a penetration testing process modified mathematical model.
тестування, математична модель, математическая модель, Information theory, компьютерная система, программное обеспечение, програмне забезпечення, testing, QA76.75-76.765, computer systems, тестирование, Computer software, комп'ютерна система, Q350-390, 004.8, Software, mathematical model
тестування, математична модель, математическая модель, Information theory, компьютерная система, программное обеспечение, програмне забезпечення, testing, QA76.75-76.765, computer systems, тестирование, Computer software, комп'ютерна система, Q350-390, 004.8, Software, mathematical model
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
