Cache implementation using collective intelligence on cloud based antivirus architecture

TLDR: This work suggests using two-way caching scheme where local-cache is stored on client system and cloud- cache is present on network cloud, where the authors store virus definitions and behaviors according to collective intelligence techniques, to increase the optimality of virus definition search.

Abstract: Antivirus is most widely used to detect and stop malware and other unwanted files. Cloud antivirus is a malware detector architecture where virus definitions and other behaviors of suspicious files is analyzed on cloud and controlled by a light weight Agent on client system. We suggest using two-way caching scheme where local-cache is stored on client system and cloud-cache is present on network cloud, where we store virus definitions and behaviors according to collective intelligence techniques. Local-cache is used to detect the virus and other malware files while offline and cloud-cache uses the Artificial Intelligence Techniques for whole client base to get the most susceptible and prone virus and malware definitions thus increasing the optimality of virus definition search and hence the speed of the whole process gets increased.