SYSTEMS AND METHODS FOR INHIBITING ATTACKS ON APPLICATIONS

Patent №

US 8,763,103

Granted

2014-06-24

Filed 2009

Owner

THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

Lab

AI components

2

ml · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12297730

In accordance with some embodiments of the present invention, systems and methods that protect an application from attacks are provided. In some embodiments of the present invention, input from an input source, such as traffic from a communication network, can be routed through a filtering proxy that includes one or more filters, classifiers, and/or detectors. In response to the input passing through the filtering proxy to the application, a supervision framework monitors the input for attacks (e.g., code injection attacks). The supervision framework can provide feedback to tune the components of the filtering proxy.

Machine learningKnowledge representationH04L 63/1416G06F 21/41H04L 63/0815H04L 63/1408H04L 63/1441

AI classification

Knowledge representation0.99
Machine learning0.90
Planning0.37
AI hardware0.09
Vision0.05
Natural language0.01
Evolutionary computation0.00
Speech0.00

Ownership

THE TRUSTEES OF COLUMBIA UNIVERSITY IN THE CITY OF NEW YORK

assignment · 229230540

From the same owner

© 2026 NYSGPT2525 LLC