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Detecting and analyzing phishing attacks through artificial intelligence

專利號
US11997138B1
公開日期
2024-05-28
申請人
KING FAISAL UNIVERSITY(SA Al Hasa)
發(fā)明人
Ahmed Alyahya; Mohammed Alzahrani
IPC分類
H04L9/40
技術領域
phishing,email,persuasion,message,spam,emails,in,recipient,signs,or
地域: Al Hasa

摘要

Detection of phishing messages in network communications is performed by receiving a transmitted message and detecting characteristics of the message. A determination is made if the message matches a pattern of a phishing message in a database, and classifies the message as a phishing or spam message accordingly. If the message does not match a known phishing message pattern, the message is checked for common signs of phishing or spam by determining the severity of a threat embodied by the message, and the message is categorized as having phishing characteristics and according to the severity of threat. In response the user responses to determinations of threats, criteria for detection of phishing characteristics is adjusted, thereby automatically revising criteria for future decisions as to whether the message represents suspected phishing.

說明書

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2) Signs used to distinguish real email from the phishing—These are common errors in personal emails but are considered suspect in standard business communications, which are either carefully composed for mass distribution (e.g., notices), or which are composed using scripts. Signs indicative of phishing when found in communications intended to be viewed as legitimate business communication include:

    • Spelling and bad grammar or syntax
    • Generic greetings
    • Mismatched email domains
    • First time, infrequent senders, or senders marked [External]
    • Suspicious links or unexpected attachments
    • Unknown senders

Technique

權利要求

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