Patents by Inventor Béranger GUEDOU

Béranger GUEDOU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12141284
    Abstract: A method, system and computer program, implemented by a computer, for detecting anomalies in an information system (IS) including a detection phase for an entity of the IS and at a time window, called a current unitary window. The detection phase includes generating a digital signature, called a unitary signature, representative of a behavior of the entity during the current unitary window based on data relative to the entity and collected during the current unitary window. The detection phase also includes calculating an anomaly score, associated with the entity for the current unitary window, based on the unitary signature and a digital signature, called a reference. The reference is previously calculated for the entity and is representative of the activity of the entity over a period preceding the current unitary window. Each digital signature is generated using a generator based on previously trained deep learning Siamese neural networks.
    Type: Grant
    Filed: March 31, 2022
    Date of Patent: November 12, 2024
    Assignee: BULL SAS
    Inventors: Mahamadou Salissou Aboubacar Alka, Béranger Guedou
  • Publication number: 20220318388
    Abstract: The invention relates to a method (300), implemented by computer, for detecting anomalies in an information system, IS, comprising at least one iteration of a detection phase (304) for at least one entity of said IS and at least one time window, called unitary, current, said detection phase (304) comprising the following steps: generating (310) a digital signature, called unitary signature, representative of a behavior of said entity during a current unitary window based on data relative to said entity and collected at least during said unitary window; and calculating (314) an anomaly score, associated with said entity for said unitary window, based on: said unitary signature, and a digital signature, called reference, previously calculated for said entity and representative of the activity of said entity over a period, called reference, preceding said current unitary window; characterized in that each digital signature is generated using a generator based on previously trained deep learning Siamese neur
    Type: Application
    Filed: March 31, 2022
    Publication date: October 6, 2022
    Applicant: BULL SAS
    Inventors: Mahamadou Salissou ABOUBACAR ALKA, Béranger GUEDOU