PREVENTING PERSONAL COMPUTER FROM POLYMORPHIC MALWARES

The system security and control flows always falls into the major issue of detecting the malwares, which plays various important roles and proves the effect of it to anywhere of the personal computers, these category of malwares are usually called polymorphic malwares. The polymorphic malwares takes several forms to affect or interrupt the users or user activities into the pc, there are lots and lots of difference between normal virus programs and malwares. A normal virus program cause affection in computer parts and destroy the hardware, it can easily be identified by means of various software and the malwares present like a normal program and cause resulting damage in user tasks or interrupt them in worst case. This system proposes a new novel variant methodology to efficiently detect the malwares in different stages. The malwares are identified by the detector in two different stages like string based signature identification and pre-filtering methodology. A minimum matching distance method is used to identify the malwares by means of differentiate it into the regular programs created by the users for legal purposes. For all the proposed system proves that the detection of polymorphic malwares using novel methodology creates an illusion in the security mean and prove the effectiveness of false positive rate as well as this method results better than all the existing methodologies.