PROBABILISTIC CYBER THREAT RECOGNITION AND PREDICTION

Patent №

US 9,367,694

Granted

2016-06-14

Filed 2014

Owner

RAYTHEON BBN TECHNOLOGIES CORP.

Lab

AI components

4

ml · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14279869

Generally discussed herein are systems, apparatuses, or processes to recognize that a cyber threat exists or predict a future track of a cyber threat in a network. According to an example, a process for recognizing a cyber threat can include (1) determining a network layout of a network based on received network layout data, (2) receiving cyber sensor data indicating actions performed on the network, (3) calculating a first score associated with the cyber sensor data indicating that a cyber threat is present in the network by comparing a cyber threat profile of the cyber threat that details actions performed by the cyber threat to actions indicated by the cyber sensor data, (4) determining whether the calculated first score is greater than a specified threshold, or (5) determining that the cyber threat is present in response to determining the calculated first score is greater than the specified threshold.

Machine learningKnowledge representationPlanningAI hardwareG06F 21/577G06F 21/55G06F 21/552H04L 63/1416H04L 63/1433

AI classification

AI hardware1.00
Planning1.00
Knowledge representation1.00
Machine learning1.00
Vision0.08
Natural language0.00
Evolutionary computation0.00
Speech0.00

Ownership

RAYTHEON BBN TECHNOLOGIES CORP.

assignment · 329290103

Assignors

ECK, CHRISTOPHER R., HASSELL, SUZANNE P., MASTROPIETRO, BRIAN J., BERAUD, PAUL F., III

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

© 2026 NYSGPT2525 LLC