DNS protocol covert channel detection method based on random forest

A random forest, covert channel technology, applied in the field of network security analysis, can solve problems such as data leakage

Inactive Publication Date: 2019-12-24
成都蓝盾网信科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Malicious software bypasses network security policies between the client and server, and ...

Method used

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  • DNS protocol covert channel detection method based on random forest
  • DNS protocol covert channel detection method based on random forest
  • DNS protocol covert channel detection method based on random forest

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Embodiment Construction

[0020] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0021] Step 1: In a normal network environment, use the traffic collection device to obtain the full amount of DNS packet traffic within a time period, mark it as a normal sample, and store it in hdfs;

[0022] Step 2: Use the tunneling tool to communicate, and obtain the DNS message traffic within the time period through the traffic collection device, mark it as an abnormal sample, and store it in hdfs;

[0023] Step 3: Integrate the data obtained in...

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Abstract

The invention discloses a DNS protocol covert channel detection method based on a random forest. According to the method, a random forest algorithm in machine learning is used to learn features; according to the method, malicious traffic of a DNS hidden channel can be quickly identified, the DNS hidden channel can be effectively detected, DNS requests and response traffic are analyzed by analyzingthe DNS traffic, feature extraction is performed on common fields for transmitting hidden information, and statistics of normal threshold ranges is performed on features; and then learning normal andabnormal DNS traffic characteristics by using a random forest model, establishing a model, and identifying whether the traffic is abnormal traffic, thereby realizing detection of a hidden channel.

Description

technical field [0001] The invention relates to the field of network security analysis, in particular to a random forest-based DNS protocol covert channel detection method. Background technique [0002] Covert channel is a way to bypass mandatory security mechanism checks and transmit information in violation of system security policies. Covert channels can be divided into two categories: operating system covert channels and network transmission covert channels. The covert channel for data transmission between different hosts in the network environment is called network covert channel. Malicious software bypasses network security policies between the client and server, and uses covert channels to transmit data secretly through legitimate messages, resulting in data leakage. In the field of information security, detecting covert channels is of great significance to improving network security. "Trusted Computer System Evaluation Criteria" (TCSEC) incorporates the restrictio...

Claims

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Application Information

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IPC IPC(8): H04L29/06H04L29/12
CPCH04L63/1416H04L61/4511
Inventor 杨育斌唐乐柯宗贵
Owner 成都蓝盾网信科技有限公司
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