DETECTING MALICIOUS NETWORK SOFTWARE AGENTS

Patent №

US 8,914,878

Granted

2014-12-16

Filed 2009

Owner

JUNIPER NETWORKS, INC.

Lab

AI components

3

kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12432325

This disclosure describes techniques for determining whether a network session originates from an automated software agent. In one example, a network device, such as a router, includes a network interface to receive packets of a network session, a bot detection module to calculate a plurality of scores for network session data based on a plurality of metrics, wherein each of the metrics corresponds to a characteristic of a network session originated by an automated software agent, to produce an aggregate score from an aggregate of the plurality of scores, and to determine that the network session is originated by an automated software agent when the aggregate score exceeds a threshold, and an attack detection module to perform a programmed response when the network session is determined to be originated by an automated software agent. Each score represents a likelihood that the network session is originated by an automated software agent.

Knowledge representationPlanningAI hardwareH04L 63/1441H04L 63/14H04L 63/1416H04L 2463/144

AI classification

Knowledge representation0.99
Planning0.94
AI hardware0.90
Machine learning0.16
Vision0.11
Evolutionary computation0.00
Speech0.00
Natural language0.00

Ownership

JUNIPER NETWORKS, INC.

assignment · 229550213

Assignors

BURNS, BRYAN, NARAYANASWAMY, KRISHNA

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

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