A Literature Review on Dynamic Modeling and Epidemic Dynamics

  • Biswarup SamantaEmail author
Conference paper


Malicious codes differ according to the way they attack computer systems and malicious actions they perform. The three classes of computer malware—Virus, Worm and Trojan—can also have hundreds of variants or several slightly modified versions. The main question we are concerned with is “Is that the behavior of infections in the digital world similar to the behavior of infections in the biological world?” Between biological diseases and computer worms, some of the most intriguing similarities lie in the ways in which they infect their hosts and bypass the defences designed to stop them. Transmission of malicious objects in computer network is epidemic in nature. Epidemiology is the study of incidence and distribution of diseases in various populations. Epidemiology has played a very crucial role over the years in planning, implementing, and evaluating programs for control of epidemic outbreaks. Moreover, the combination of epidemic dynamics, epidemiologic theory, biostatistics, and computer simulations will significantly contribute to further improvement of our knowledge of transmission patterns of epidemics, development of epidemiology, and more effective methods in controlling infectious diseases. In this paper, an attempt has been made to present the literature review on dynamic modeling and epidemic dynamics to apply the principles of epidemiological modeling to study and understand the infecting nature, transmission mode, and damaging behavior of worms in computer networks.


Cyber attack Computer network Dynamic model Epidemic modeling Malware Stability 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer Science & Information Technology, Amity Institute of Information TechnologyAmity UniversityRanchiIndia

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