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.

Knowledge representationAI hardwareH04L 63/1425G06F 21/55H04L 63/0263H04L 63/14H04L 63/1441H04L 63/145

AI classification

Knowledge representation0.99
AI hardware0.99
Evolutionary computation0.34
Planning0.34
Vision0.00
Machine learning0.00
Natural language0.00
Speech0.00

Ownership

SYMANTEC CORPORATION

assignment · 365680844

Assignors

MOHANTY, SHUBHABRATA, IYER, SUDHA

On an employer assignment, the assignors are typically the inventors.

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