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A Botnet Analysis Method for Home Routers Based on Raspberry Pi Design

A botnet and analysis method technology, 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 convenient botnet flow, powerful function and high performance

Active Publication Date: 2021-06-22
SICHUAN CHANGHONG ELECTRIC CO LTD
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  • Summary
  • 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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  • A Botnet Analysis Method for Home Routers Based on Raspberry Pi Design
  • A Botnet Analysis Method for Home Routers Based on Raspberry Pi Design
  • A Botnet Analysis Method for Home Routers Based on Raspberry Pi Design

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Embodiment 1

[0041] 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:

[0042] 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.

[0043] 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.

[0044] 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).

[0045] Step 4: Modify the default ipv4 address of the built-in network card.

[0046] 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 botnet analysis method based on a raspberry pie design based on a raspberry pie design home router, comprising the following steps: A. using the pyshark library in python to monitor the network port to extract network traffic information, and Save the extracted information as data; B. Calculate and obtain the traffic characteristics according to the data obtained in step A; C. Accumulate the values ​​of the traffic characteristics calculated in step B through weights to obtain the threat value; D. Match the threat value Detection, so as to determine whether the network traffic is botnet traffic. The method of the present invention adopts the method of extracting and calculating the network flow of the router, and then comparing and analyzing the calculated results, so as to solve the problem that the existing small household routers have insufficient accuracy in detecting and processing botnets.

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 Patents(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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