US 10,313,352 B2 · Phishing detection with machine learning

Abstract

A system and method for identifying a phishing website is disclosed. Content associated with a website that a user is attempting to access is retrieved and translated into a format that a classifier can process. The classifier is trained to identify phishing attempts for a particular website or family of websites. The classifier processes the website to determine if the website is a phishing website. A scorer can determine the likelihood that the classifier classified the website correctly. If the website is determined to be a phishing website a protection component can deny access to the website. Otherwise the user can be permitted to access the website.

Claims19

Dependent claims

A system comprising:

a processor;
a memory;
a classifier configured to classify a website as a target website or not according to a set of rules, the classifier trained against a set of training data, wherein the set of training data is specific to a single owner;
a scorer configured to generate a score indicative of a likelihood that the classifier has correctly identified the website as either a phishing website or not a phishing website, wherein the score is determined by calculating a difference between a value required to classify a particular result from the classifier and an associated value output from the classifier;
and
a protection component configured to grant or deny access to the website based upon the generated score from the scorer.

3 more elements

Dependencies are inferred from the claim text.

Phishing detection with machine learning

Life of this patent

Phishing detection with machine learning

Life of this patent

Abstract

Claims19