IDENTIFYING TARGETS OF NETWORK ATTACKS

Patent №

US 10,097,566

Granted

2018-10-09

Filed 2015

Owner

AMAZON TECHNOLOGIES, INC.

AI components

2

kr · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14815863

Systems and methods are described to enable identification of computing resources targeted in a network attack. Network attacks, such as denial of service attacks, are frequently directed to network addresses that host multiple sets of content, each representing a distinct potential target of the network attack. Aspects of this disclosure enable each set of content to be assigned a unique or semi-unique combination of network addresses at which the set of content is accessible. During a network attack, a hosting system can compare the network addresses under attack to those assigned to each set of content to determine which sets of content are potentially targeted by the attack. Where the combination of network addresses is associated with only a single set of content, that set of content can be identified as the target of the network attack.

Knowledge representationPlanningH04L 63/1416H04L 61/4511H04L 63/14H04L 63/1441H04L 63/1458H04L 67/00

AI classification

Planning0.82
Knowledge representation0.75
AI hardware0.14
Evolutionary computation0.08
Natural language0.02
Machine learning0.01
Vision0.00
Speech0.00

Ownership

AMAZON TECHNOLOGIES, INC.

assignment · 454280691

Assignors

RADLEIN, ANTON STEPHEN, JONES, HARVO REYZELL, HOWARD, CRAIG WESLEY, DYE, NATHAN ALAN

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

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