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We can see a very interested distribution in Fig. 6, which is presented for the definition “Cyber

criminals”. From this figure, we can see a positive (with a permanent increase) trend for any kind of
trend models, but with the small precision approximation, a bit more than ε = 0.5. In addition, by this

distribution, we can confirm a permanent increase in cybercrimes of different kinds throughout the
world. In fact, we could see this trend model based on the polynomial dependence, which has the

polynomial model of degree 4, because a coefficient at the variable X6 is small enough (a bit higher
-4
than 10 ).
In Fig. 7, we can see a growth of popularity of the area “Cyber security” as the confirmation

of a decrease of popularity of the area “Cyber criminals”, as opposed to this concept. Moreover, this
positive tendency is observed for any kind of the trend models, both for linear and polynomial models.

In addition, this growth has begun since 2010-2011, when some well-known cyber-attacks on the
different government and private infrastructures were done in throughout the world. (We will say

about this and other actions below.) The high enough accuracy of approximation increases our
confidence and independence of forecasting, but only with respect to the determination of the general

tendencies.

We can see a significant growth of popularity for this area in 2008 based on a distribution
graph for the definition “Crime analysis”, which is shown in Fig. 8. Nevertheless, after that period of

time, we also can see a significant recession up to nowadays. Moreover, we can hope (because we

have the enough small accuracy of the approximation, a bit more than 0.5) that, in the further period
of time, some interest and our attention in this area will grow. This fact can be confirmed with the

small positive tendency, which is a general tendency. The sufficiently small confirmation of the
significant growth of a popularity for this area in 2008 can be seen from the normative and legislative

acts and documents (which will be described below), which were accepted in some EU and other
countries.

For the definition of “Cyber infrastructure protection”, we can only say about some

tendencies, because we have the small accuracy of the approximation (a bit less than 0.5). Based on
the general tendency, we can see a small positive trend before 2010, but after 2011, we have a

recession. It also confirms a recession of interest in this area, but we can hope that after 2012 (it can
see in Fig. 9) this interest and popularity will grow compared with the previous actions.

In Fig. 10, we can see a high enough interest for the definition “Cyber-crime detection”, which

is somewhat similar to the Poisson distribution (with λ = 4). In addition, we can see a kind of
stabilization during the years 2005-2013, i.e., some values of a time-frequency distribution are equal.

It confirms that fact that this theme or area was very interesting and popular in the beginning
of the 2000s. Besides, we can say with some confidence that the popularity and interest in this area

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