USING RECURRENT NEURAL NETWORKS TO DEFEAT DNS DENIAL OF SERVICE ATTACKS

Patent №

US 10,044,751

Granted

2018-08-07

Filed 2015

Owner

ARBOR NETWORKS, INC.

Lab

AI components

3

ml · nlp · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14981738

A system for mitigating network attacks is provided. The system includes a protected network including a plurality of devices. The system further includes one or more attack mitigation devices communicatively coupled to the protected network. The attack mitigation devices are configured and operable to employ a recurrent neural network (RNN) to obtain probability information related to a request stream. The request stream may include a plurality of at least one of: HTTP, RTSP and/or DNS messages. The attack mitigation devices are further configured to analyze the obtained probability information to detect one or more atypical requests in the request stream. The attack mitigation services are also configured and operable to perform, in response to detecting one or more atypical requests, mitigation actions on the one or more atypical requests in order to block an attack.

Machine learningNatural languageAI hardwareH04L 63/1458G06N 3/02G06N 3/044H04L 63/1416H04L 63/1441G06N 3/084H04L 61/4511

AI classification

Machine learning1.00
AI hardware1.00
Natural language1.00
Knowledge representation0.21
Speech0.00
Planning0.00
Evolutionary computation0.00
Vision0.00

Ownership

ARBOR NETWORKS, INC.

assignment · 380830455

Assignors

HUSTON, LAWRENCE B., III

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

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