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Personal identification information positioning identification method based on static pollution

A technology for identifying information and positioning recognition, applied in the field of network information security, can solve problems such as huge difficulty, and achieve the effect of overcoming false positives, avoiding crowdsourced feedback, and avoiding manual intervention.

Pending Publication Date: 2022-04-15
YANAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, it is very difficult to achieve precise positioning and extraction of personal identification information in large-scale network traffic data.

Method used

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  • Personal identification information positioning identification method based on static pollution
  • Personal identification information positioning identification method based on static pollution
  • Personal identification information positioning identification method based on static pollution

Examples

Experimental program
Comparison scheme
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Embodiment Construction

[0022] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0023] Step 1: Turn network traffic into a dataset. The dataset contains three dimensions: Domain, Key and Value.

[0024] Further, the present invention provides a specific implementation method of step 1, including the following steps:

[0025] Step 1.1: Collect traffic data from the network and save it in PCAP format.

[0026] Step 1.2: Determine whether the selected data packet is an HTTP request field, and if so, use regular expressions to extract its feature information.

[0027] Among them, feature information extraction can be done in the following ways:

[0028] Step 1.2.1: Determine whether the information packet contains the GET field of the HTTP protocol, if it contains the GET field, then perform feature information extraction, if not, continue to select the next piece of data;

[0029] Step 1.2.2: Use a "?" symbol slice from left to right fo...

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PUM

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Abstract

The invention relates to a personal identification information positioning identification method based on static pollution, and belongs to the technical field of network information security. According to the method, input personal identification information is used as shared information, the flow behavior of the shared information in data is utilized, the incidence relation between different service-positions is found, an information flow graph is constructed, and the personal identification information is positioned and extracted by utilizing a traversal algorithm of a graph theory. According to the method, the personal identification information is automatically and accurately positioned and extracted according to the input infection value. According to the method, the problem of accurately positioning and extracting the personal identification information in the network flow data, particularly under the large-scale network flow data, is effectively solved, meanwhile, the false alarm caused by excessive pollution is overcome, the large-scale sparse data set can be automatically marked, and manual intervention and crowdsourcing feedback are avoided.

Description

technical field [0001] The invention relates to a method for locating and identifying personal identification information based on static pollution, and belongs to the technical field of network information security. Background technique [0002] Personally identifiable information refers to information that can identify, distinguish or track independent individuals. It can be a single (or direct) message, or it can be composed of several (or indirect) messages. [0003] With the rapid development of network technology, the privacy leakage detection of personal identification information in network traffic is facing the challenge of big data. First of all, high-bandwidth network traffic brings large-scale network traffic data, and there is a large gap between the number of positive and negative samples, resulting in data imbalance, which leads to the sparsity of data in the detection sample. Second, detection methods need to overcome the dilemma of personal identification ...

Claims

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Application Information

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IPC IPC(8): G06F16/901G06F16/903G06F16/9038
Inventor 刘翼
Owner YANAN UNIV
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