Yunkai Zhang

Affiliations:
  • Shijiazhuang Institute of Railway Technology, Department of Information Engineering, Shijiazhuang, China
  • Xidian University, College of Computer, Xi'an, China (PhD 2005)


According to our database1, Yunkai Zhang authored at least 14 papers between 2005 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2016
Stability Analysis of a Worm Propagation Model with Quarantine and Vaccination.
Int. J. Netw. Secur., 2016

Analysis of an SEIVR Epidemic Model with Partial Immunization and Nonlinear Infection Rate.
Proceedings of the International Conference on Networking and Network Applications, 2016

2015
A Worm Defending Model with Partial Immunization and Its Stability Analysis.
J. Commun., 2015

Global Analysis of a SEIQV Epidemic Model for Scanning Worms with Quarantine Strategy.
Int. J. Netw. Secur., 2015

Stability analysis of an <i>e</i>-<i>SEIAR</i> model with point-to-group worm propagation.
Commun. Nonlinear Sci. Numer. Simul., 2015

2014
Stability Analysis of a SEIQRS Model with Graded Infection Rates for Internet Worms.
J. Comput., 2014

2013
Combating Good Point Set Scanning-based Self-learning Worms by Using Predators.
Int. J. Netw. Secur., 2013

2010
Modelling and Analyzing Passive Worms over Unstructured Peer-to-Peer Networks.
Int. J. Netw. Secur., 2010

Stability analysis of a SEIQV epidemic model for rapid spreading worms.
Comput. Secur., 2010

Combating self-learning worms by using predators.
Proceedings of the IEEE International Conference on Wireless Communications, 2010

2009
Modeling and analysis of a self-learning worm based on good point set scanning.
Wirel. Commun. Mob. Comput., 2009

Defending passive worms in unstructured P2P networks based on healthy file dissemination.
Comput. Secur., 2009

Predators Combat Good Point Set Scanning-Based Self-Learning Worms.
Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2005
Worm Propagation Modeling and Analysis on Network.
Proceedings of the Computational Intelligence and Security, International Conference, 2005


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