A Cloud-Based Energy Efficient System for Enhancing the Detection and Prevention of Modern Malware

Abstract

In today's modern world, a simple malware attack can result catastrophically and can cause havoc. In spite of numerous types of antiviruses available in the market, there is a dearth in detection techniques of these antiviruses. This paper proposes a complete system, which is a combination of conventional and new techniques for detecting malware. We first evaluate the antiviruses against 10,000+ malware samples to highlight their weaknesses and then propose, implement, and benchmark the cloud-based system against some defined parameters. We have tested the effectiveness and efficiency of the proposed system by monitoring the detection rate and processing power it consumes in order to operate in a host machine.