Open AccessDETECTION OF METAMORPHIC VIRUSES USING BIO-INSPIRED FEATURE FUSION
Author(s) -
Anuj Sharma Ankur Singh Bist*
Publication year - 2017
Publication title -
zenodo (cern european organization for nuclear research)
Language(s) - English
DOI - 10.5281/zenodo.438110
Subject(s) - metamorphic rock , fusion , artificial intelligence , feature (linguistics) , virology , pattern recognition (psychology) , biology , computer science , computational biology , paleontology , philosophy , linguistics
Increment in computer viruses is a major problem for researchers working in the field of computer virology. The existing techniques cannot provide the complete assurance towards disinfection, but still lot of advancement is going on in the direction of computer virus detection. Our proposed technique includes the test cases with 3-d biological signature flavour that are designed for the identification of metamorphic viruses. Test case contains the combination of bio inspired techniques to assure exact detection that leads to detection of metamorphic viruses with very low false positive and false negative rate. Experimental results are obtained to demonstrate that our method is suitable for identification of metamorphic viruses and achieve satisfactory performance