Sub-connection Based Isolation Against Network Virus

Taking the superiority of the connection of the network, computer viruses bring more harm to users. However few researches focus on the network isolation against virus. Most existing isolation tools trying to isolate the faults and protecting the specific sub-network do not fit to prevent web-spreading network virus. By dividing the network connection into subconnections the paper presents sub-connection based isolation against network virus. The sub-isolation is defined as a set of binary relation from the infected area to the susceptible area of the virus. New formulas are also proposed to measure the blockage of the isolation on the network. Finally three groups of more than 50 simulation tests are carried out. The test results verify the valid of the sub-connection based isolation and prove it causes fewer blockages on the network flow than the existing isolation ways. Thus the paper opens a new path to prevent the net viruses.

[1]  Yeu-Pong Lai,et al.  Network Security Improvement with Isolation Implementation Based on ISO-17799 Standard , 2007, NBiS.

[2]  N. Ling The Mathematical Theory of Infectious Diseases and its applications , 1978 .

[3]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[4]  Zhu Jian-sheng Discussion on technology of network isolation , 2006 .

[5]  Liao Yong-song Discussion on network isolation scheme of intranet , 2006 .

[6]  Alessandro Vespignani,et al.  Epidemic dynamics and endemic states in complex networks. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[7]  Glenn Mansfield,et al.  The Dynamic Symptom Isolation Algorithm for Network Fault Management and Its Evaluation , 1998 .

[8]  R. Subramanian,et al.  Innovative and effective methodology for implementing network isolation for manufacturing environments , 2005, ISSM 2005, IEEE International Symposium on Semiconductor Manufacturing, 2005..

[9]  Fan Wen-bin Discussion on physics isolation technology for internet and intranet , 2003 .

[10]  Hui Liu,et al.  Analytic Model for Network Viruses , 2005, ICNC.

[11]  Yaoxue Zhang,et al.  A New One-Way Isolation File-Access Method at the Granularity of a Disk-Block , 2007, ATC.

[12]  Sukhan Lee,et al.  Multisensor Fusion and Integration for Intelligent Systems , 2009 .

[13]  M. Fernandez,et al.  A failure detection and isolation algorithm for a decentralised multisensor system , 1994, Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems.

[14]  Alexander Grey,et al.  The Mathematical Theory of Infectious Diseases and Its Applications , 1977 .

[15]  S. Lubore,et al.  A network isolation algorithm , 1970 .

[16]  Matthew C. Elder,et al.  On computer viral infection and the effect of immunization , 2000, Proceedings 16th Annual Computer Security Applications Conference (ACSAC'00).

[17]  Jeffrey O. Kephart,et al.  Measuring and modeling computer virus prevalence , 1993, Proceedings 1993 IEEE Computer Society Symposium on Research in Security and Privacy.

[18]  Liu Yan-bao Physical isolation technology and data safety transmitting model , 2005 .