公开(公告)号：US11240266B1

公开(公告)日：2022-02-01

申请号：US17377919

申请日：2021-07-16

Applicant: Social Safeguard, Inc.

Inventor： Otavio R. Freire ,  Ruben Jimenez

IPC: H04L29/06 ,  H04L29/12 ,  H04L12/24

Abstract: Embodiments of the present disclosure use natural language processing, machine learning and relevant corpora to detect social engineering attacks with a high degree of accuracy. In various embodiments, lexical features, spelling features and topical features are automatically analyzed from a source text and a model is employed to assess the likelihood that the source message is a social engineering attack.

公开(公告)号：US11936686B2

公开(公告)日：2024-03-19

申请号：US17581296

申请日：2022-01-21

Applicant: Social Safeguard, Inc.

Inventor： Otavio R. Freire ,  Ruben Jimenez

IPC: H04L29/06 ,  G06F40/284 ,  H04L9/40 ,  H04L41/16 ,  H04L61/2503

CPC classification number: H04L63/1466 ,  G06F40/284 ,  H04L41/16 ,  H04L61/2503 ,  H04L63/0807 ,  H04L63/1483

Abstract: Embodiments of the present disclosure use natural language processing, machine learning and relevant corpora to detect social engineering attacks with a high degree of accuracy. In various embodiments, lexical features, spelling features and topical features are automatically analyzed from a source text and a model is employed to assess the likelihood that the source message is a social engineering attack.

公开(公告)号：US20230025446A1

公开(公告)日：2023-01-26

申请号：US17581296

申请日：2022-01-21

Applicant: Social Safeguard, Inc.

Inventor： Otavio R. Freire ,  Ruben Jimenez

IPC: H04L9/40 ,  G06F40/284

Abstract: Embodiments of the present disclosure use natural language processing, machine learning and relevant corpora to detect social engineering attacks with a high degree of accuracy. In various embodiments, lexical features, spelling features and topical features are automatically analyzed from a source text and a model is employed to assess the likelihood that the source message is a social engineering attack.