Predictive real-time and scheduled anti-virus scanning

Abstract

Implementations are provided herein for systems, methods, and a non-transitory computer product configured to use predictive analysis of quantifiable parameters associated with individual files stored on a distributed file storage system. In some embodiments, parameters are analyzed by machine learning so that real-time and scheduled antivirus scanning can be intelligently conducted. We teach creating a sequential order for scheduled antivirus scanning such that the files most likely to be accessed or needed by users in the future will be scanned for viruses before those files less likely to be accessed. We reconcile scheduled antivirus scanning with predictive analysis for real-time antivirus scanning. Our teachings encompass the use of heuristic data compiled, in some instances through machine learning, and analyzed on a per-file basis. We enable system administrators to determine which parameters to prioritize and to set thresholds for antivirus scanning, such as time limits.