METHOD AND APPARATUS FOR IDENTIFYING DARK WEB WEBSITE IN SCENARIO OF CONCURRENT ACCESS TO A PLURALITY OF PAGES

The present disclosure provides a method and an apparatus for identifying a dark web website in a scenario where a plurality of pages are accessed simultaneously. The method includes: obtaining browsed network traffic packets of websites to be identified, and extracting direction sequence features f...

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Main Authors DENG, Xinhao, ZHAO, Xiyuan, XU, Ke, LI, Qi, LIU, Zhuotao, WU, Jianping, YIN, Qilei, XU, Mingwei
Format Patent
LanguageEnglish
Published 23.05.2024
Subjects
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHICCOMMUNICATION
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Summary:The present disclosure provides a method and an apparatus for identifying a dark web website in a scenario where a plurality of pages are accessed simultaneously. The method includes: obtaining browsed network traffic packets of websites to be identified, and extracting direction sequence features from the network traffic packets; dividing the direction sequence features into a plurality of subsequence features based on a plurality of sliding windows, and inputting the plurality of subsequence features into a neural network model to extract preset pattern features; analyzing a correlation of the preset pattern features using a target website identification model to obtain a probability result of a target website being accessed; obtaining a target website identification result in the website to be identified based on the probability results and a preset classification model.
Bibliography:Application Number: US202318512265