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1. WO2020139862 - ADAPTIVE DEVICE TYPE CLASSIFICATION

Publication Number WO/2020/139862
Publication Date 02.07.2020
International Application No. PCT/US2019/068417
International Filing Date 23.12.2019
IPC
G06F 15/177 2006.1
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
15Digital computers in general; Data processing equipment in general
16Combinations of two or more digital computers each having at least an arithmetic unit, a program unit and a register, e.g. for a simultaneous processing of several programs
177Initialisation or configuration control
H04L 12/24 2006.1
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
12Data switching networks
02Details
24Arrangements for maintenance or administration
H04W 28/02 2009.1
HELECTRICITY
04ELECTRIC COMMUNICATION TECHNIQUE
WWIRELESS COMMUNICATION NETWORKS
28Network traffic or resource management
02Traffic management, e.g. flow control or congestion control
CPC
G06N 20/00
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
20Machine learning
G06N 5/027
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
5Computer systems using knowledge-based models
02Knowledge representation
027Frames
G06N 7/005
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
7Computer systems based on specific mathematical models
005Probabilistic networks
G06Q 30/0201
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30Commerce, e.g. shopping or e-commerce
02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
0201Market data gathering, market analysis or market modelling
Applicants
  • AVAST SOFTWARE S.R.O. [CZ]/[CZ]
  • ALPEROVICH, Galina [RU]/[RU]
  • KUZNETSOV, Dmitry [RU]/[RU]
  • GUPTA, Rajarshi [US]/[US]
Inventors
  • ALPEROVICH, Galina
  • KUZNETSOV, Dmitry
  • GUPTA, Rajarshi
Agents
  • KIRCHER, William, B.
Priority Data
62/786,24428.12.2018US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) ADAPTIVE DEVICE TYPE CLASSIFICATION
(FR) CLASSIFICATION DE TYPES DE DISPOSITIFS ADAPTATIFS
Abstract
(EN)
Systems and methods for device type classification system include a rules engine and a machine learning engine. The machine learning engine can be trained using device type data from multiple networks. The machine learning engine and the rules engine can receive data for devices on a network at a first point in time. The data can be submitted to a rules engine and the machine learning engine, which each produce device type probabilities for devices on the network. The device type probabilities from the rules engine and the machine learning engine can be processed to determine device types for one or more devices on the network. As more data becomes available at later points in time, the additional data can be provided to the rules engine and the machine learning engine to update the device type determinations for the network.
(FR)
L'invention porte sur des systèmes et des procédés destinés à un système de classification de types de dispositifs comprenant un moteur de règles et un moteur d'apprentissage machine. Le moteur d'apprentissage machine peut être entraîné à l'aide de données de types de dispositifs provenant de multiples réseaux. Le moteur d'apprentissage machine et le moteur de règles peuvent recevoir des données pour des dispositifs sur un réseau à un premier instant. Les données peuvent être soumises à un moteur de règles et au moteur d'apprentissage machine, qui produisent chacun des probabilités de types de dispositifs pour des dispositifs sur le réseau. Les probabilités de types de dispositifs provenant du moteur de règles et du moteur d'apprentissage machine peuvent être traitées pour déterminer des types de dispositifs pour un ou plusieurs dispositifs sur le réseau. Au fur et à mesure que davantage de données deviennent disponibles à des moments ultérieurs, les données supplémentaires peuvent être fournies au moteur de règles et au moteur d'apprentissage machine pour mettre à jour les déterminations de types de dispositifs pour le réseau.
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