Method for Combining Multiple Signal Values in the Dendritic Cell Algorithm

Patent №

US 9,596,259

Granted

2017-03-14

Filed 2014

Owner

THE BOEING COMPANY

Lab

AI components

2

ml · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14533529

Artificial Immune Systems (AIS) including the Dendritic Cell Algorithm (DCA) are an emerging method to detect malware in computer systems. A DCA module may receive an output or signal from multiple indicators concerning the state of at least a portion of the system. The DCA module is configured to combine the plurality of signals into a single signal vector. The DCA module may be configured to sort the received signals based on signal type and magnitude of each signal. The DCA module may then use a decay factor to weight the received signals so that a large number of “nominal” signals do not drown out a small number of “strong” signals indicating a malware attack. The decay factor may be exponentially increased each time it is applied so that all received signals are considered by the DCA module, but so that the “nominal” signals may have a minimal effect.

Machine learningAI hardwareH04L 63/145G06F 21/56G06F 2221/034

AI classification

AI hardware1.00
Machine learning0.77
Vision0.05
Knowledge representation0.02
Evolutionary computation0.01
Speech0.01
Planning0.00
Natural language0.00

Ownership

THE BOEING COMPANY

assignment · 341080688

Assignors

HANDEL, MARK J, STUART, DOUGLAS A, TAYLOR, HUGH L, WILSON, BRETT, DORRIS, STEVE A

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

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