SECURE PERSONALIZED TRUST-BASED MESSAGES CLASSIFICATION SYSTEM AND METHOD

    公开(公告)号:US20190109863A1

    公开(公告)日:2019-04-11

    申请号:US16153641

    申请日:2018-10-05

    IPC分类号: H04L29/06 G06K9/62

    摘要: Technologies are described for authenticating a sender identity of an online message. For example, an online message having a purported sender identity can be obtained. Various features can then be extracted from the message, including stylometric features, origin location features, attached file features for any files attached to the message, and embedded URL features. The extracted features can then be compared to a sender profile for a known sender identity matching the purported sender identity, or to one or more sender profiles for recognized suspicious senders if the purported sender identity does not match a known sender identity. The sender profile for a given sender identity can include features extracted from one or more messages previously sent by the sender identity. A global risk score for the message indicating a likelihood that the purported sender identity is inauthentic can be determined based at least in part upon the comparison.

    SECURE PERSONALIZED TRUST-BASED MESSAGES CLASSIFICATION SYSTEM AND METHOD

    公开(公告)号:US20200382523A1

    公开(公告)日:2020-12-03

    申请号:US16999000

    申请日:2020-08-20

    IPC分类号: H04L29/06 G06K9/62

    摘要: Technologies are described for authenticating a sender identity of an online message. For example, an online message having a purported sender identity can be obtained. Various features can then be extracted from the message, including stylometric features, origin location features, attached file features for any files attached to the message, and embedded URL features. The extracted features can then be compared to a sender profile for a known sender identity matching the purported sender identity, or to one or more sender profiles for recognized suspicious senders if the purported sender identity does not match a known sender identity. The sender profile for a given sender identity can include features extracted from one or more messages previously sent by the sender identity. A global risk score for the message indicating a likelihood that the purported sender identity is inauthentic can be determined based at least in part upon the comparison.

    Secure personalized trust-based messages classification system and method

    公开(公告)号:US11516223B2

    公开(公告)日:2022-11-29

    申请号:US16999000

    申请日:2020-08-20

    IPC分类号: H04L9/40 G06K9/62 G06N20/00

    摘要: Technologies are described for authenticating a sender identity of an online message. For example, an online message having a purported sender identity can be obtained. Various features can then be extracted from the message, including stylometric features, origin location features, attached file features for any files attached to the message, and embedded URL features. The extracted features can then be compared to a sender profile for a known sender identity matching the purported sender identity, or to one or more sender profiles for recognized suspicious senders if the purported sender identity does not match a known sender identity. The sender profile for a given sender identity can include features extracted from one or more messages previously sent by the sender identity. A global risk score for the message indicating a likelihood that the purported sender identity is inauthentic can be determined based at least in part upon the comparison.

    Secure personalized trust-based messages classification system and method

    公开(公告)号:US10812495B2

    公开(公告)日:2020-10-20

    申请号:US16153641

    申请日:2018-10-05

    IPC分类号: H04L29/06 G06K9/62 G06N20/00

    摘要: Technologies are described for authenticating a sender identity of an online message. For example, an online message having a purported sender identity can be obtained. Various features can then be extracted from the message, including stylometric features, origin location features, attached file features for any files attached to the message, and embedded URL features. The extracted features can then be compared to a sender profile for a known sender identity matching the purported sender identity, or to one or more sender profiles for recognized suspicious senders if the purported sender identity does not match a known sender identity. The sender profile for a given sender identity can include features extracted from one or more messages previously sent by the sender identity. A global risk score for the message indicating a likelihood that the purported sender identity is inauthentic can be determined based at least in part upon the comparison.