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Raspberry Pi design-based Botnet analysis method of household router

A technology of botnet and analysis method, which is applied in the direction of data exchange network, digital transmission system, electrical components, etc., can solve the problem of insufficient accuracy of botnet, and achieve the effect of easy observation and mastery, strong scalability and powerful functions

Active Publication Date: 2019-11-22
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0007] The purpose of the present invention is to overcome the deficiencies in the above-mentioned background technology, provide a kind of botnet analysis method based on the home router designed by Raspberry Pi, adopt the method that the network flow of router is extracted and calculated, and then the result after calculation is compared and analyzed, Addresses the inaccuracy of existing small home routers for detecting and dealing with botnets

Method used

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  • Raspberry Pi design-based Botnet analysis method of household router
  • Raspberry Pi design-based Botnet analysis method of household router
  • Raspberry Pi design-based Botnet analysis method of household router

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Embodiment 1

[0045] First of all, in this embodiment, a method for designing the Raspberry Pi as a routing device is specifically disclosed, specifically as figure 1 As shown, the specific implementation steps of the home router designed based on the Raspberry Pi using the wireless network card are as follows:

[0046] Step 1: Prepare Raspberry Pi 3B+ (Raspberry Pi 3Model B+), wireless network card (AR9271 chip swift fw150ud), power cord (5V, 2A), and two network cables.

[0047] Step 2: Prepare a 128M SD card and write the openwrt disk image file into the SD card. Wherein, the openwrt is a writable file system that can provide a software package.

[0048] Step 3: Make a boot disk (use the command dd if=~ / name.img of dev / sdX, where ~ / name.img is the absolute path and name of openwrt, and sdX is the device name).

[0049] Step 4: Modify the default ipv4 address of the built-in network card.

[0050] Step 5: Install the USB network card driver and Hostapd (open the browser and enter the a...

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Abstract

The invention discloses a Raspberry Pi design-based Botnet analysis method of a household router. The method comprises the following steps: A, carrying out network port monitoring by using a pyspark library in python to extract network flow information, and carrying out data storage on the extracted information; B, calculating according to the data obtained in the step A to obtain flow characteristics; C, accumulating the values of the flow characteristics calculated in the step B through weight to obtain a threat value; and D, carrying out matching detection on the threat value to judge whether the network flow is botnet flow or not. According to the method provided by the invention, the network flow of the router is extracted and calculated, and then the calculated result is compared andanalyzed, so that the problem that the existing small household router is insufficient in botnet detection and processing accuracy is solved.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a botnet analysis method based on a home router designed by a raspberry pie. Background technique [0002] With the continuous development of social informatization and the Internet, various Internet of Things devices have also penetrated into people's lives. While bringing convenience to people's lives, these Internet of Things devices have also become targets and tools used by criminals. [0003] "Botnet" is an extremely harmful Internet malicious attack mode. The botnet uses vulnerabilities to attack the target system, and then manipulates commands to download Trojan horse viruses and hide them in IoT devices, making them "puppets" that are manipulated. The hazards of botnets include but are not limited to: using a large number of zombie clients to launch DDos attacks, infecting other systems to become new zombie clients, sending spam and phishing, and informat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06H04L12/771H04L29/12H04L45/60
CPCH04L63/1408H04L63/1416H04L63/1425H04L63/101H04L45/60H04L61/4511
Inventor 孙祥张攀常清雪
Owner SICHUAN CHANGHONG ELECTRIC CO LTD
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