Study of an Anti-Virus Framework

DOI

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ming Zhang
AU  - Wei Chen
PY  - 2015/11
DA  - 2015/11
TI  - Study of an Anti-Virus Framework
BT  - Proceedings of the 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  - 10.2991/tmcm-15.2015.41
ID  - Zhang2015/11
ER  -