Open AccessAnalysis of time of committing nearest malicious attack in information security system using apparatus of rare regenerating processes
Author(s) -
Georgiy Aleksandrovich Popov,
Е А Попова
Publication year - 2020
Publication title -
vestnik astrahanskogo gosudarstvennogo tehničeskogo universiteta. seriâ: upravlenie, vyčislitelʹnaâ tehnika i informatika
Language(s) - English
Resource type - Journals
eISSN - 2224-9761
pISSN - 2072-9502
DOI - 10.24143/2072-9502-2020-2-34-44
Subject(s) - moment (physics) , computer science , process (computing) , interval (graph theory) , event (particle physics) , computer security , relation (database) , basis (linear algebra) , object (grammar) , state (computer science) , character (mathematics) , data mining , mathematics , algorithm , artificial intelligence , physics , geometry , classical mechanics , combinatorics , quantum mechanics , operating system
The paper analyzes the model that describes the process of attacking the protected object, where closed information is stored, the model built on the basis of the apparatus of regenerating sequences of the successful completion of malicious attacks. The moments of the attacks are considered in detail. It is assumed that attacks originating from a single source are rare enough, have an isolated singled character and are quite distant in time, that is, the event of a successful attack is a rare event, but the losses upon its successful completion can be huge. For the studied characteristic there is chosen a nearest moment when the next attack is successful: this characteristic is very important with relation to the information security. Knowing the parameters of this characteristic will help, at appropriate time intervals, to take additional actions that increase the level of protection. Studies are conducted under the assumption that all characteristics of the model are heterogeneous, which more adequately corresponds to the real state in information security systems. There has been obtained an asymptotic relation for the moment of the next successful malicious attack under conditions when the time interval for analyzing the attack is constantly rising and the probability of attack is becoming less common, both values changing consistently.