Proceedings of the 2015 International Conference on Test, Measurement and Computational Methods

Study of an Anti-Virus Framework

Authors
Ming Zhang, Wei Chen
Corresponding Author
Ming Zhang
Available Online November 2015.
DOI
https://doi.org/10.2991/tmcm-15.2015.41How to use a DOI?
Keywords
anti-virus framework; intelligent feature codes; anti-virus; aotm-detection activities
Abstract
Commercial anti-virus software has been extended to anti-virus engine matching signature works, this method can accurately detect the known viruses. The study of anti-virus technology of the foreign scholars focuses on the following aspects, improving the ability of antivirus software to detect unknown viruses, solving the deformation of polymorphic viruses against signature matching problem, and improving the efficiency of the signature matching algorithm. In order to prevent the virus cause damage, select the VMWare configuration of the Windows xp virtual machine as a test environment. Selecting gray pigeons virus spread widely for experiment.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2015 International Conference on Test, Measurement and Computational Methods
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-132-2
ISSN
2352-538X
DOI
https://doi.org/10.2991/tmcm-15.2015.41How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ming Zhang
AU  - Wei Chen
PY  - 2015/11
DA  - 2015/11
TI  - Study of an Anti-Virus Framework
BT  - 2015 International Conference on Test, Measurement and Computational Methods
PB  - Atlantis Press
SP  - 170
EP  - 173
SN  - 2352-538X
UR  - https://doi.org/10.2991/tmcm-15.2015.41
DO  - https://doi.org/10.2991/tmcm-15.2015.41
ID  - Zhang2015/11
ER  -