Swarm Virus, Evolution, Behavior and Networking

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241924" target="_blank" >RIV/61989100:27240/18:10241924 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989100:27740/18:10241924

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-662-55663-4_11" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-662-55663-4_11</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Swarm Virus, Evolution, Behavior and Networking

Popis výsledku v původním jazyce

In this chapter we would like to outline how behavior of malicious software, i.e. computer virus can be connected with evolution and visualization of its spreading as the network. The approach presented here is not based on single classical virus spreading, but more on hypothetical swarm virus and its dynamics of spread in PC. The latest development of virus code shows, that CnC technology (command and control) has been used as in the case of Stuxnet virus or Botnet malware. It is logical to expect that development of the viral code will never stop at this level, but will continue up to viruses that will evolve according to the Darwinian theory of evolution and will mimic swarm in the nature, such as the swarm algorithms already do. The aim of our research is not developing a swarm virus, but using its expectable behavior we show that its dynamics can be then modeled as the network structure and thus likely controlled and stopped, as our experiments in the first part of this book suggest. The same methodology can be used not only in laboratory conditions on a single PC, but also on virus spreading over the network or Internet, if real data is available. Ideas and results of this chapter were also presented on Post Graduation in Cyber Security and Ciberdefense, Multinational Cyber Defence Education and Training Project, NATO Smart Defence Project, Lisbon 2017.

Název v anglickém jazyce

Swarm Virus, Evolution, Behavior and Networking

Popis výsledku anglicky

In this chapter we would like to outline how behavior of malicious software, i.e. computer virus can be connected with evolution and visualization of its spreading as the network. The approach presented here is not based on single classical virus spreading, but more on hypothetical swarm virus and its dynamics of spread in PC. The latest development of virus code shows, that CnC technology (command and control) has been used as in the case of Stuxnet virus or Botnet malware. It is logical to expect that development of the viral code will never stop at this level, but will continue up to viruses that will evolve according to the Darwinian theory of evolution and will mimic swarm in the nature, such as the swarm algorithms already do. The aim of our research is not developing a swarm virus, but using its expectable behavior we show that its dynamics can be then modeled as the network structure and thus likely controlled and stopped, as our experiments in the first part of this book suggest. The same methodology can be used not only in laboratory conditions on a single PC, but also on virus spreading over the network or Internet, if real data is available. Ideas and results of this chapter were also presented on Post Graduation in Cyber Security and Ciberdefense, Multinational Cyber Defence Education and Training Project, NATO Smart Defence Project, Lisbon 2017.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Evolutionary Algorithms, Swarm Dynamics and Complex Networks

ISBN

978-3-662-55661-0

Počet stran výsledku

27

Strana od-do

213-239

Počet stran knihy

312

Název nakladatele

Springer, Berlin, Heidelberg

Místo vydání

Germany

Kód UT WoS kapitoly

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