Analytical Modeling of Mobile Banking Attacks based on
a stochastic network conversion technique


Igor Saenko
1, Oleg Lauta2, and Igor Kotenko1, 3+
 

1St. Petersburg Institute for Informatics and Automation (SPIIRAS)

39, 14 Liniya, St. Petersburg, Russia
{ibsaen, ivkote}@comsec.spb.ru

 

2St. Petersburg Signal academy

3, Tichoretsky prospekt, Saint-Petersburg, Russia

o.lauta@yandex.ru

 

3St. Petersburg National Research University of Information Technologies, Mechanics and Optics

49, Kronverkskiy prospekt, Saint-Petersburg, Russia

 

 

Abstract

Now the quantity and complexity of mobile banking attacks strongly increase. It brings extensive economic damage and requires increase of mobile security level. Development of reliable analytical models that adequately represent real attack implementation processes in different conditions is necessary for effective protection against mobile banking attacks. The paper considers an approach to analytical modeling of mobile banking attacks based on a stochastic network conversion technique. The essence of this technique consists in changeover of a set of elementary branches of a stochastic network by one equivalent branch and the subsequent determination of an equivalent function of the network, and the initial moments and distribution functions of the computer attack implementation time. Advantages of the offered method are the high speed of modeling, high reliability, and high sensitivity of results to initial data change. The experimental assessment of the proposed method has confirmed its sufficiently high efficiency.

Keywords: Mobile Security, Attack Modeling, Mobile Banking Attack, Stochastic Networks,
Laplace Transform

 

+: Corresponding author: Igor Kotenko
Laboratory of Computer Security Problems, St. Petersburg, Institute for Informatics and Automation

(SPIIRAS), 39, 14 Liniya, St. Petersburg, Russia

 

IT Convergence Practice (INPRA), Vol. 4, No. 4, pp. 1-10, December 2016 [pdf]