Dynamic pattern based virus Identification using dynamic program invocation pattern model

Dynamic pattern based virus Identification using dynamic program invocation pattern model
Author(s):
PERAM MANOJ KUMAR, DILEEP KUMAR REDDY M, SARIPELLA SAISURYANARAYANARAJU, Prem priya
Keywords:

Abstract
Research focus on the dynamic invocation of code and patterns based on the existing antivirus model.This project emphasizes an artificial intelligence model in developing the code which will do the following process. Invoke automatically and started executing in case of any virus files available The virus files can be identified through the signatures Can be identified via the type / name of files which already exists. In case, the user will train the model for the type of virus. An intelligent system will take care of future detection with those patterns. The operations involve the 3 step process Validating the behavior of the files An automatic event detection happens in case of any actions needs to be done. Event will be handled to process in case of virus detection. The scope of this project is to prevent the customized viruses which can be analyzed via the name and also the signature of the virus.
Article Details
Unique Paper ID: 145567 Publication Volume & Issue: Volume 4, Issue 10 Page(s): 379 - 385
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