Spatio-Temporal Dynamics and Structure Preserving Algorithm for Computer Virus Model

Ahmed, Nauman; Fatima, Umbreen; Iqbal, Shahzaib; Raza, Ali; Rafiq, Muhammad; Aziz-ur-Rehman, Muhammad; Saeed, Shehla; Khan, İlyas; Nisar, Kottakkaran Sooppy

doi:10.32604/cmc.2021.014171

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…6. Acquaintance immunization scheme: The core idea of the acquaintance immunization scheme is to immunize some nodes, and then the immunized nodes will immunize their neighbors (Ahmed et al, 2021). Some scholars have found the acquaintance immunization scheme to be better than the random immunization scheme, and its effect is similar to that of the directed/ target immunization.…”

Section: Node Immunitymentioning

confidence: 99%

Control and Research of Computer Virus by Multimedia Technology

Niu,

Fan

2023

International Journal of Information Systems and Supply Chain Management

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The rapid development of multimedia technology has brought great changes to people's lives and production. Computer viruses also spread widely through the network. In order to solve the above problems, this article intends to use multimedia technology to control computer viruses, and proposes a virus control method based on SICES model. According to the controlled SICES model and the set objective function, the influence of users' online behavior patterns on virus propagation can be explored, and an optimal control problem is proposed. Through theoretical analysis, the existence of optimal control is proved, and the optimal system is obtained. Numerical experiments show the effectiveness of the optimal control strategy. In addition, in order to optimize the objective function to make its value smaller, and to control the proportion of infected nodes at a lower level, users should choose the corresponding online behavior mode according to different network structures. For example, on the WS small world network, the network should be frequently disconnected or always kept online.

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Section: Node Immunitymentioning

confidence: 99%

Control and Research of Computer Virus by Multimedia Technology

Niu,

Fan

2023

International Journal of Information Systems and Supply Chain Management

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An industrial virus propagation model based on SCADA system

Zhu

Zhang

Luo

et al. 2023

Information Sciences

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Modeling of Computer Virus Propagation with Fuzzy Parameters

Alhebshi¹,

Ahmed²,

Băleanu³

et al. 2023

Computers, Materials &Amp; Continua

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Typically, a computer has infectivity as soon as it is infected. It is a reality that no antivirus programming can identify and eliminate all kinds of viruses, suggesting that infections would persevere on the Internet. To understand the dynamics of the virus propagation in a better way, a computer virus spread model with fuzzy parameters is presented in this work. It is assumed that all infected computers do not have the same contribution to the virus transmission process and each computer has a different degree of infectivity, which depends on the quantity of virus. Considering this, the parameters β and γ being functions of the computer virus load, are considered fuzzy numbers. Using fuzzy theory helps us understand the spread of computer viruses more realistically as these parameters have fixed values in classical models. The essential features of the model, like reproduction number and equilibrium analysis, are discussed in fuzzy senses. Moreover, with fuzziness, two numerical methods, the forward Euler technique, and a nonstandard finite difference (NSFD) scheme, respectively, are developed and analyzed. In the evidence of the numerical simulations, the proposed NSFD method preserves the main features of the dynamic system. It can be considered a reliable tool to predict such types of solutions.

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Spatio-Temporal Dynamics and Structure Preserving Algorithm for Computer Virus Model

Cited by 3 publications

References 16 publications

Control and Research of Computer Virus by Multimedia Technology

Control and Research of Computer Virus by Multimedia Technology

An industrial virus propagation model based on SCADA system

Modeling of Computer Virus Propagation with Fuzzy Parameters

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