Methodology for intelligent pattern detection and anomaly detection in machine to machine communication network

Invention Grant

US10237290B2 Methodology for intelligent pattern detection and anomaly detection in machine to machine communication network 有权

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Patent Title: Methodology for intelligent pattern detection and anomaly detection in machine to machine communication network
Application No.: US13533815

Application Date: 2012-06-26
Publication No.: US10237290B2

Publication Date: 2019-03-19
Inventor: Subramanian Balakrishnan , Narendra Kumar Sharma
Applicant: Subramanian Balakrishnan , Narendra Kumar Sharma
Applicant Address: US CA San Jose
Assignee: AERIS COMMUNICATIONS, INC.
Current Assignee: AERIS COMMUNICATIONS, INC.
Current Assignee Address: US CA San Jose
Agency: Brundidge & Stanger, P.C.
Main IPC: H04L29/06
IPC: H04L29/06

Methodology for intelligent pattern detection and anomaly detection in machine to machine communication network

Abstract:

The present invention relates generally to network communications, and more particularly to machine-to-machine (M2M) data communications. The present invention provides for a method, apparatus and computer program product for detecting performance event data across a machine-to-machine (M2M) network indicative of anomalous performance of data and thereafter alerting users of performance issues in real-time or near real-time.

Public/Granted literature

US20130346596A1 METHODOLOGY FOR INTELLIGENT PATTERN DETECTION AND ANOMALY DETECTION IN MACHINE TO MACHINE COMMUNICATION NETWORK Public/Granted day:2013-12-26

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