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A method for identifying IoT devices based on spontaneous traffic

A technology for IoT devices and networked devices, applied in character and pattern recognition, biological neural network models, instruments, etc., can solve problems such as inability to cope, time-consuming, labor-intensive, and low-efficiency, and achieve high accuracy, fewer false alarms, The effect of low time complexity of the algorithm

Active Publication Date: 2021-03-23
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These two solutions are less efficient in detecting real-time updated attacks. At the same time, this requires high system updates for suppliers, which is time-consuming and labor-intensive, and cannot cope with the current rapidly developing IoT market.
In addition, malicious intruders can easily develop some malicious software based on the current loopholes in the IoT market, leading to attacks on IoT systems and causing security losses

Method used

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Embodiment

[0052] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0053] Step 1: For the target IoT device, given its traffic time series characteristics, expressed as , where fi(i=1,2,3,…) is the data packet of the target IoT device Characteristic vector representation.

[0054] Step 2: For the target IoT device, collect the spontaneous traffic packet sequence generated by the target IoT device without performing any user operation on it after networking.

[0055] Step 3: Match the traffic signature sequence with the data packet sequence, the specific process is:

[0056] (1) Reasonably evaluate the similarity of data features, specify the value range of sequence similarity, and specif...

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PUM

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Abstract

The invention discloses a method for identifying an Internet of Things device based on spontaneous flow. The invention matches the representative features of spontaneous traffic to a time series, and transforms the identification problem of IoT devices into a signal processing problem, and uses the convolutional neural network to analyze the time series results of representative feature matching, and solves the problem based on traffic analysis The identification problem of IoT devices. In network management, the present invention can not only accurately identify the types of IoT devices based on traffic analysis, but also accurately estimate the number of connected IoT devices of the same type behind the intranet, helping automatic management of device assets and configuration of security policies. Equipment safety supervision is of great significance.

Description

technical field [0001] The invention belongs to the technical field of Internet of Things device identification, and in particular relates to a method for identifying Internet of Things devices based on spontaneous traffic. Background technique [0002] At present, due to the large number of devices, various types, and limited security functions, IoT technology faces security risks such as software and hardware failures, physical attacks, information leakage or tampering, unauthorized access, or malicious control. The security of IoT devices will affect people's IoT life, therefore, the security issues in IoT technology must be properly handled. [0003] In order to solve the security problems of IoT devices, the current common solutions can be divided into the following two types: [0004] Set up an intrusion detection system and upgrade IoT devices. These two solutions are less efficient in detecting real-time updated attacks. At the same time, this requires high system ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L29/06H04L29/08G06K9/62G06N3/04G16Y40/50
CPCH04L63/1441H04L67/12H04L67/54G06N3/045G06F18/22G06F18/214
Inventor 马小博瞿建黄双双梁绍一刘兆丽李剑锋
Owner XI AN JIAOTONG UNIV