worm propagation
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2021 ◽  
pp. 109624
Author(s):  
Teka Feyera ◽  
Anwar Yesuf Shifaw ◽  
Isabelle Ruhnke ◽  
Brendan Sharpe ◽  
Timothy Elliott ◽  
...  

2021 ◽  
pp. 102321
Author(s):  
Peng Zhou ◽  
Xiaojing Gu ◽  
Surya Nepal ◽  
Jianying Zhou

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Gabriel Gonzalez ◽  
Maria Elena Larraga ◽  
Luis Alvarez-Icaza ◽  
Javier Gomez

2020 ◽  
Vol 51 (4) ◽  
pp. 333-347
Author(s):  
Devipriya Ganeshan ◽  
Kavitha TS

Wireless sensor networks (WSNs) have received wide-ranging considerationdue to their boundless potential in civil and military applications. Maliciousself-replicating codes, known as malware, pose substantial threat to the wireless computing infrastructure. The attacks of the malicious signals in the WSNare epidemic in nature. Biological epidemic models will be helpful to understand the dynamical behavior of the malware attack in WSN. In this paper,A (SEIRS-V) Susceptible - Exposed - Infected - Recovered - Susceptible witha Vaccination compartment, describing the undercurrents of worm propagation with respect to time in wireless sensor network (WSN) is considered. Theanalytical solution of WSN is obtained by Homotopy Perturbation Method.Numerical results are obtained and are graphically interpreted using Maple.The results assures that the dynamics of worm propagation in WSN by theproposed model exhibits rich dynamics.


2020 ◽  
Vol 17 (5) ◽  
pp. 137-150
Author(s):  
Linyuan Yao ◽  
Ping Dong ◽  
Hongke Zhang ◽  
Xiaojun Wang

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