Propagation modeling of active P2P worms based on ternary matrix

Chen, Ting; Zhang, Xiaosong; Li, Hongyuan; Wang, Dong; Yu-hua, WU

doi:10.1016/j.jnca.2013.02.032

Cited by 7 publications

(1 citation statement)

References 36 publications

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“…The fileless malware works directly within the memory of the target system instead of the hard drive [3,4]. With the application of obfuscation techniques in malware development, the detection of new malware will become even more difficult than ever before [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A Malware Propagation Model Considering Conformity Psychology in Social Networks

Zhu

Liu

Luo

et al. 2022

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At present, malware is still a major security threat to computer networks. However, only a fraction of users with some security consciousness take security measures to protect computers on their own initiative, and others who know the current situation through social networks usually follow suit. This phenomenon is referred to as conformity psychology. It is obvious that more users will take countermeasures to prevent computers from being infected if the malware spreads to a certain extent. This paper proposes a deterministic nonlinear SEIQR propagation model to investigate the impact of conformity psychology on malware propagation. Both the local and global stabilities of malware-free equilibrium are proven while the existence and local stability of endemic equilibrium is proven by using the central manifold theory. Additionally, some numerical examples and simulation experiments based on two network datasets are performed to verify the theoretical analysis results. Finally, the sensitivity analysis of system parameters is carried out.

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