白丝美女被狂躁免费视频网站,500av导航大全精品,yw.193.cnc爆乳尤物未满,97se亚洲综合色区,аⅴ天堂中文在线网官网

Using neural networks to process forensics and generate threat intelligence information

專利號
US11888895B2
公開日期
2024-01-30
申請人
Proofpoint, Inc.(US CA Sunnyvale)
發(fā)明人
Zachary Mitchell Abzug; Kevin Patrick Blissett; Brian Sanford Jones
IPC分類
G06F7/04; H04L9/40; G06N3/08; G06N3/045
技術(shù)領(lǐng)域
campaign,platform,neural,or,may,forensics,threat,compromise,networks,threats
地域: CA CA Sunnyvale

摘要

Aspects of the disclosure relate to generating threat intelligence information. A computing platform may receive forensics information corresponding to message attachments. For each message attachment, the computing platform may generate a feature representation. The computing platform may input the feature representations into a neural network, which may result in a numeric representation for each message attachments. The computing platform may apply a clustering algorithm to cluster each message attachments based on the numeric representations, which may result in clustering information. The computing platform may extract, from the clustering information, one or more indicators of compromise indicating that one or more attachments corresponds to a threat campaign. The computing platform may send, to an enterprise user device, user interface information comprising the one or more indicators of compromise, which may cause the enterprise user device to display a user interface identifying the one or more indicators of compromise.

說明書

In the following description of various illustrative embodiments, reference is made to the accompanying drawings, which form a part hereof, and in which is shown, by way of illustration, various embodiments in which aspects of the disclosure may be practiced. It is to be understood that other embodiments may be utilized, and structural and functional modifications may be made, without departing from the scope of the present disclosure. Various connections between elements are discussed in the following description. It is noted that these connections are general and, unless specified otherwise, may be direct or indirect, wired or wireless, and that the specification is not intended to be limiting in this respect.

As a brief introduction to the concepts described further below, one or more aspects of the disclosure relate to systems and methods for using neural networks to process forensics and generate threat intelligence information. By combining a data ingestion pipeline and a neural network, as described further herein, a software tool implementing one or more aspects of this concept may generate clusters of threats (which may, e.g., be used as a starting point for a threat investigation process). In some instances, this tool may be used to identify email attachment-based threats, uniform resource locator (URL)-based threats, and/or other threats. As an example, this tool may receive information identifying thousands of attachment-based threats per day and may reduce this dataset to hundreds of threat clusters (which may, e.g., be a much more manageable set of threats to further investigate).

權(quán)利要求

1
微信群二維碼
意見反饋