METHOD AND APPARATUS FOR DETECTING SECURITY ANOMALIES IN A PUBLIC CLOUD ENVIRONMENT USING NETWORK ACTIVITY MONITORING, APPLICATION PROFILING AND SELF-BUILDING HOST MAPPING
Patent №
US 10,044,740
Granted
2018-08-07
Filed 2015
Owner
SYMANTEC CORPORATION
Lab
—
AI components
2
kr · hardware
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
14854658
The disclosed computer-implemented method for detecting security anomalies in a public cloud environment using network activity monitoring, application profiling, and self-building host mapping may include (1) collecting host information that identifies (A) at least one communication channel that has previously facilitated communication between at least one host computing platform within a cloud computing environment and at least one additional computing platform and/or (B) at least one application that has previously run on the host computing platform, (2) monitoring network traffic involving the host computing platform, (3) detecting, while monitoring the network traffic, network activity that is inconsistent with the collected host information, and then (4) determining that the detected network activity represents a potential security threat within the cloud computing environment due at least in part to the detected network activity being inconsistent with the collected host information. Various other methods, systems, and computer-readable media are also disclosed.
AI classification
Ownership
SYMANTEC CORPORATION
assignment · 365680844
Assignors
MOHANTY, SHUBHABRATA, IYER, SUDHA
On an employer assignment, the assignors are typically the inventors.