SYSTEM AND METHOD FOR DETECTING MALICIOUS EXECUTABLE CODE

Patent №

US 8,037,535

Granted

2011-10-11

Filed 2005

Owner

GEORGETOWN UNIVERSITY

Lab

AI components

6

ml · nlp · vision · speech · kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11202186

A system and method for detecting malicious executable software code. Benign and malicious executables are gathered; and each are encoded as a training example using n-grams of byte codes as features. After selecting the most relevant n-grams for prediction, a plurality of inductive methods, including naive Bayes, decision trees, support vector machines, and boosting, are evaluated.

AI classification

Machine learning1.00
Natural language1.00
Vision1.00
Speech0.98
AI hardware0.97
Knowledge representation0.85
Evolutionary computation0.01
Planning0.01

Ownership

GEORGETOWN UNIVERSITY

assignment · 168750805

Assignors

MALOOF, MARCUS A.

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

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