A New Individual-Based Model to Simulate Malware Propagation in Wireless Sensor Networks

Batista, Farrah Kristel; Rey, Ángel Martín del; Dios, Araceli Queiruga

doi:10.3390/math8030410

Cited by 33 publications

(15 citation statements)

References 34 publications

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“…In contrast, there was no inhibitory effect during infection in the heterogeneous network. However, no one has yet created a model at the individual level that can explain a more specific dynamic process [ 34 ].…”

Section: Methodsmentioning

confidence: 99%

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Pricing of cyber insurance premiums using a Markov-based dynamic model with clustering structure

2021

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Cyber insurance is a risk management option to cover financial losses caused by cyberattacks. Researchers have focused their attention on cyber insurance during the last decade. One of the primary issues related to cyber insurance is estimating the premium. The effect of network topology has been heavily explored in the previous three years in cyber risk modeling. However, none of the approaches has assessed the influence of clustering structures. Numerous earlier investigations have indicated that internal links within a cluster reduce transmission speed or efficacy. As a result, the clustering coefficient metric becomes crucial in understanding the effectiveness of viral transmission. We provide a modified Markov-based dynamic model in this paper that incorporates the influence of the clustering structure on calculating cyber insurance premiums. The objective is to create less expensive and less homogenous premiums by combining criteria other than degrees. This research proposes a novel method for calculating premiums that gives a competitive market price. We integrated the epidemic inhibition function into the Markov-based model by considering three functions: quadratic, linear, and exponential. Theoretical and numerical evaluations of regular networks suggested that premiums were more realistic than premiums without clustering. Validation on a real network showed a significant improvement in premiums compared to premiums without the clustering structure component despite some variations. Furthermore, the three functions demonstrated very high correlations between the premium, the total inhibition function of neighbors, and the speed of the inhibition function. Thus, the proposed method can provide application flexibility by adapting to specific company requirements and network configurations.

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Section: Methodsmentioning

confidence: 99%

“…Conversely, there is no inhibiting effect during infection in heterogeneous networks. However, no one has created a model at the individual level that can explain the dynamic process of infection to the status of an individual [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

Pricing of cyber insurance premiums using a Markov-based dynamic model with clustering structure

2021

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“…In recent years, the authors of Reference [27] proposed the SEIRS-D agent-based model and the characteristics of the model can be adjusted to more realistic values based on the environment by integrating new elements. Huang D.W. et al [28] proposed a model with patch injection mechanism (SIPS) to evaluate the performance of patch injection rate in inhibiting computer infection.…”

Section: Related Workmentioning

confidence: 99%

Dynamical Analysis and Optimal Control for a SEIR Model Based on Virus Mutation in WSNs

et al. 2021

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With the rapid development of science and technology, the application of wireless sensor networks (WSNs) is more and more widely. It has been widely concerned by scholars. Viruses are one of the main threats to WSNs. In this paper, based on the principle of epidemic dynamics, we build a SEIR propagation model with the mutated virus in WSNs, where E nodes are infectious and cannot be repaired to S nodes or R nodes. Subsequently, the basic reproduction number R0, the local stability and global stability of the system are analyzed. The cost function and Hamiltonian function are constructed by taking the repair ratio of infected nodes and the repair ratio of mutated infected nodes as optimization control variables. Based on the Pontryagin maximum principle, an optimal control strategy is designed to effectively control the spread of the virus and minimize the total cost. The simulation results show that the model has a guiding significance to curb the spread of mutated virus in WSNs.

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“…However, WRSNs are usually vulnerable to malware attacks [4][5][6], such as denial of service, malicious code distribution, and information exfiltration [7]. WRSNs especially suffer from the Denial of Charge (DOC) [8].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Time-Delay Epidemic Model in Rechargeable Wireless Sensor Networks

Liu

Liang

et al. 2021

Mathematics

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With the development of wireless rechargeable sensor networks (WRSNs), many scholars began to attach attention to network security under the spread of viruses. This paper mainly studies a novel low-energy-status-based model SISL (Susceptible, Infected, Susceptible, Low-Energy). The conversion process from low-energy nodes to susceptible nodes is called charging. It is noted that the time delay of the charging process in WRSNs should be considered. However, the charging process and its time delay have not been investigated in traditional epidemic models in WRSNs. Thus, the model SISL is proposed. The basic reproduction number, the disease-free equilibrium point, and the endemic equilibrium point are discussed here. Meanwhile, local stability and global stability of the disease-free equilibrium point and the endemic equilibrium point are analyzed. The addition of the time-delay term needs to be analyzed to determine whether it affects the stability. The intervention treatment strategy under the optimal control is obtained through the establishment of the Hamiltonian function and the application of the Pontryagin principle. Finally, the theoretical results are verified by simulations.

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A New Individual-Based Model to Simulate Malware Propagation in Wireless Sensor Networks

Cited by 33 publications

References 34 publications

Pricing of cyber insurance premiums using a Markov-based dynamic model with clustering structure

Pricing of cyber insurance premiums using a Markov-based dynamic model with clustering structure

Dynamical Analysis and Optimal Control for a SEIR Model Based on Virus Mutation in WSNs

Analysis of Time-Delay Epidemic Model in Rechargeable Wireless Sensor Networks

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