This article briefly mentions some selected options of current concept for identifying cyber attacks from the perspective of the new cyberspace of real system. In the cyberspace, there is defined n-dimensional abstract system containing elements of the spatial arrangement of partial system elements such as micro-environment of cyber systems surrounded by other suitably arranged corresponding noise space. This space is also gradually supplemented by a new image of dynamic processes in a discreet environment, and corresponding again to n-dimensional expression of time space defining existence and also the prediction for expected cyber attacksin the noise space. Noises are seen here as useful and necessary for modern information and communication technologies (e.g. in processes of applied cryptography in ICT) and then the so-called useless noises designed for initial (necessary) filtering of this highly aggressive environment and in future expectedly offensive background in cyber war (e.g. the destruction of unmanned means of an electromagnetic pulse, or for destruction of new safety barriers created on principles of electrostatic field or on other principles of modern physics, etc.). The key to these new options is the expression of abstract systems based on the models of microelements of cyber systems and their hierarchical concept in structure of n-dimensional system in given cyberspace. The aim of this article is to highlight the possible systemic expression of cyberspace of abstract system and possible identification in time-spatial expression of real environment (on microelements of cyber systems and their surroundings with noise characteristics and time dimension in dynamic of microelements’ own time and externaltime defined by real environment). The article was based on a partial task of faculty specific research.

1.
M.
Barvíř
,
Kybernetika a společnost na prahu XXI. století
,
Brno
:
Vysoké učení technické
,
2005
, ISBN 80-214-3058-3.
2.
J.
David
and
F.
Gene
,
Feedback control of dynamic systems
,
New Jersey
:
Prenticehall
,
2006
, ISBN 0130323934.
3.
J.
Dvořák
,
E-commerce and its Impact on Customer Strategy
.
Economics and management
.
Lithuanian Republic, Riga
,
2010
, pp.
397
407
, ISSN .
4.
M.
Janková
,
The System Approach to Management Principles in Cyber space Dynamic of the Information Society
, Comparative European Research. SCIEMCEE.
London
:
SCIEMCEE Publishing
,
2015
, pp.
26
29
. ISBN: 978-0-9928772-6-2.
5.
R.
Jašek
,
A.
Szmit
, and
M.
Szmit
,
Usage of Modern Exponential-Smoothing Models in Network Traffic Modelling: prediction, modeling and analysis of complex systems
. 1st edition.:
Springer International Publishing
Switzerland
,
2013
, pp.
435
444
, ISBN 978-3-319-00541-6.
6.
J.
Křupka
and
Š.
Špirko
,
Basics of Technical Cybernetics
.
Liptovský Mikuláš
:
Armed Forces Academy of General Milan Rastislav Štefanik
,
2008
, ISBN 978-80-8040-357-7.
7.
J.
Křupka
and
M.
Kašparovská
,
Abeceda tvorby modelů pro MATLAB
,
Pardubice
:
Univerzita Pardubice
,
2009
, ISBN 978-80-7395-236-5.
8.
E.
Volná
,
M.
Kotyrba
and
R.
Jarušek
,
Multiclassifier based on Elliott wave’s recognition
,
Computers and Mathematics with Applications
66
(
2
),
2013
, pp.
213
225
. ISSN: 0898-1221. doi:.
9.
E.
Volná
,
M.
Kotyrba
and
M.
Janošek
,
Knowledge discovery in dynamic data using neural networks
. In
Kuinam J. Kim
,
K. J.
(ed.)
Information Science and Applications
. Lecture Notes in Electrical Engineering (Bookseries),
Springer Verlag
Berlin Heidelberg
,
2015
, Volume
339
, pp.
575
582
. ISSN: . DOI:.
10.
E.
Volná
and
M.
Kotyrba
,
A comparative study to evolutionary algorithms
, In
Squazzoni
,
F.
,
Baronio
,
F.
,
Archetti
,
C.
, and
Castellani
,
M.
(eds.):
Proceedings 28th European Conference on Modelling and Simulation, ECMS 2014
,
Brescia, Italy
,
2014
, pp.
340
345
. doi:.
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