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Distributed denial of service attack on targeted resources in a computer network for critical infrastructure: A differential e-epidemic model

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  • Rao, Yerra Shankar
  • Keshri, Ajit Kumar
  • Mishra, Bimal Kumar
  • Panda, Tarini Charana

Abstract

Distributed denial of service (DDoS) attack on critical infrastructure networks has increased rapidly in recent past and therefore it is a matter of great concern that how to safeguard these targeted network resources. Our paper proposes a defense strategy by introducing quarantine compartment in the population of computer in a critical infrastructure network so that even in the case of attack the network should perform its operations successfully. This strategy if implemented properly may control propagation of malicious objects by reducing the rate of infection to a great extent. Therefore, the goal of this paper is to analyse that can quarantine help in reducing the damage of the critical infrastructure network by preventing the outbreak as epidemic? Our proposed differential model is analysed at infection free and endemic equilibrium points to find the conditions for their local and global stability. Numerical methods and simulation tools are employed to solve and simulate the system of ordinary differential equations developed.

Suggested Citation

  • Rao, Yerra Shankar & Keshri, Ajit Kumar & Mishra, Bimal Kumar & Panda, Tarini Charana, 2020. "Distributed denial of service attack on targeted resources in a computer network for critical infrastructure: A differential e-epidemic model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    • Handle: RePEc:eee:phsmap:v:540:y:2020:i:c:s0378437119318199
    DOI: 10.1016/j.physa.2019.123240
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    References listed on IDEAS

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    1. Singh, Abhishek Narain & Gupta, M.P. & Ojha, Amitabh, 2014. "Identifying critical infrastructure sectors and their dependencies: An Indian scenario," International Journal of Critical Infrastructure Protection, Elsevier, vol. 7(2), pages 71-85.
    2. Moghadas, S.M. & Gumel, A.B., 2002. "Global stability of a two-stage epidemic model with generalized non-linear incidence," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 60(1), pages 107-118.
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    Cited by:

    1. Rajeev Kumar Shakya & Tadesse Hailu Ayane & Feyissa Debo Diba & Pushpa Mamoria, 2022. "SEIRS model with spatial correlation for analyzing dynamic of virus spreading in event-driven wireless sensor networks," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 752-760, April.

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