18385844. MACHINE LEARNING FOR PRIORITIZING TRAFFIC IN MULTI-PURPOSE INLINE CLOUD ANALYSIS (MICA) TO ENHANCE MALWARE DETECTION (Palo Alto Networks, Inc.)
MACHINE LEARNING FOR PRIORITIZING TRAFFIC IN MULTI-PURPOSE INLINE CLOUD ANALYSIS (MICA) TO ENHANCE MALWARE DETECTION
Organization Name
Inventor(s)
Sheng Yang of Santa Clara CA US
Curtis Leland Carmony of Albuquerque NM US
Kashyap Tavarekere Ananthapadmanabha of San Jose CA US
William Redington Hewlett, Ii of Mountain View CA US
MACHINE LEARNING FOR PRIORITIZING TRAFFIC IN MULTI-PURPOSE INLINE CLOUD ANALYSIS (MICA) TO ENHANCE MALWARE DETECTION
This abstract first appeared for US patent application 18385844 titled 'MACHINE LEARNING FOR PRIORITIZING TRAFFIC IN MULTI-PURPOSE INLINE CLOUD ANALYSIS (MICA) TO ENHANCE MALWARE DETECTION
Original Abstract Submitted
Techniques for machine learning for prioritizing traffic in multi-purpose inline cloud analysis (MICA) to enhance malware detection are disclosed. In some embodiments, a system, a process, and/or a computer program product for machine learning for prioritizing traffic in multi-purpose inline cloud analysis (MICA) to enhance malware detection includes processing a set of data for network security analysis to extract a file; determining that the file is to be offloaded to a cloud security entity for security processing based at least in part on a prefilter model that is implemented as a machine learning model; forwarding the file to the cloud security entity using a multi-purpose inline cloud analysis (MICA) channel; and performing an action in response to receiving a verdict from the cloud security entity.
