Abstract;
Technological advancement over the years has engineered the absolute dependence of existing vital information systems upon the internet. Moreover, while this has facilitated civilization and made life a lot easier, certain accruing distresses are being experienced with the use thereof. Amongst these distress vectors is the computer virus; whose proliferation in recent times has been of major concern to most computer users; its growth over the years resulting in the creation of enormous threats to information technology infrastructure. Dealing with this challenge, various counter-measures alongside complex technicalities have been employed, of which pattern-based technique has yielded positive results the most and has gained prominence over other various strategies. The methodology used in this work engaged this classic technique by proposing a model: Virus Notch Detect (VND) – which works by extracting signatures from files during analysis; known to be cumbersome and of variable lengths, compress and set them to fixed lengths using cryptography. This work asserts the effectiveness of a typical approach towards computer virus analysis by dealing with false positive challenges common with detection systems and also improved upon detection speed– ceteris paribus– as the timely analysis of threats is of vital importance in security domain. The results of the work proved effective as suitable
classification and timely detection was drastically enhanced. A modest technique for threat analysis is hereby proposed, which would be of great benefit, especially to non-domain experts, as well as security experts– when and where due to technical constraints, other methods are unavailable.
Keywords: Computer Virus, Antivirus Technologies, Pattern-Based Detection, Virus-Notch, Malicious, Benign.
