Investigation of computer crimes

Автор: Maksimova Elena Aleksandrovna, Berdnik Mariya Viktorovna, Tsybanov Vadim Yurevich, Alekseenko Anna Viktorovna

Журнал: НБИ технологии @nbi-technologies

Рубрика: Инновации в информатике, вычислительной технике и управлении

Статья в выпуске: 3 (26), 2017 года.

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In recent years, the number of computer crimes is constantly increasing. The number of criminal attacks over the last 10 years has increased by 22.3 % and continues to increase, on the average, in 3.5 times a year. The annual damage caused by this criminal assault amounts to 613,7 million roubles; the average damage from one computer to the victim of a crime is equal to 1.7 million roubles. At the same time, only about 49 % are successfully solved. Guilty verdicts are rendered only in 25.5 % cases from the total number of criminal cases. The average number of criminal cases, in which production is suspended, is 43.5 % and clearly reflects the low degree of professionalism of law enforcement bodies in the activities of disclosure, investigation and prevention of these criminal attacks. Since standard algorithms of actions not taking into account the specificities of this type of criminal conduct are used when working with the computer crimes, we observe the growth of cybercrime and the low rate of disclosure. Thus, a new approach is necessary for investigating computer crimes, taking into account the specifics of the crime and modeling a potential attacker, especially at the stage of investigation. Model intruder information security is a set of assumptions about one or more possible offenders of information security, their qualifications, their technical and material means, etc. The paper presents the developed model of the attacker capable of committing a computer crime. The authors work out the architecture used in the algorithmic model allowing to automate the process of computer crimes investigation.

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Computer crimes, model of attacker, investigation stage, algorithm of actions, architecture of model

Короткий адрес: https://sciup.org/149129734

IDR: 149129734   |   DOI: 10.15688/jvolsu10.2017.3.1

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