The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
May. 06, 2025
Filed:
Jun. 16, 2023
Dell Products L.p., Round Rock, TX (US);
Tanuj Arcot Omkar, Cedar Park, TX (US);
Rodrigo De Souza Scorsatto, Porto Alegre, BR;
Aravind Reddy Lakkadi, Flower Mound, TX (US);
Jonathan Leventis, College Station, TX (US);
Kasey Mallette, Las Vegas, NV (US);
Vinicius Facco Rodrigues, Sao Paulo, BR;
Rodrigo Da Rosa Righi, São Leopoldo, BR;
Lucas Micol Policarpo, São Leopoldo, BR;
Thaynã Da Silva França, São Leopoldo, BR;
Jorge Luis Victória Barbosa, São Leopoldo, BR;
Rodolfo Stoffel Antunes, São Leopoldo, BR;
Cristiano André Da Costa, São Leopoldo, BR;
Dell Products L.P., Round Rock, TX (US);
Abstract
Methods, apparatus, and processor-readable storage media for detection of anomalous behavior on online platforms using machine learning techniques are provided herein. An example method includes obtaining a set of machine learning models configured to detect anomalous behavior associated with users interacting with an online platform and performing an incremental machine learning process on one or more of the machine learning models in the set. The incremental machine learning process may include obtaining data related to interactions of users with the online platform, updating at least one of the machine learning models in the set based on the obtained data, comparing the machine learning models, and selecting one of the machine learning models from the set to be used by the online platform based on the comparison. The method may further include determining, utilizing the selected machine learning model, that a given user is exhibiting anomalous behavior on the online platform.