DNP (Distributed Network Protocol) communication access control method based on neural network

A neural network and access control technology, applied in the field of industrial control information security, can solve problems such as the inability to identify and prevent firewalls, and achieve the effect of improving security and reliability, ensuring security, and preventing deceptive attacks.

Inactive Publication Date: 2016-07-27
UNIV OF ELECTRONIC SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Since the data packets of spoofing attacks conform to the DNP3.0 protocol rules, but traditional firewalls cannot recognize them, so they cannot prevent such attacks

Method used

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  • DNP (Distributed Network Protocol) communication access control method based on neural network
  • DNP (Distributed Network Protocol) communication access control method based on neural network
  • DNP (Distributed Network Protocol) communication access control method based on neural network

Examples

Experimental program
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Embodiment

[0031] figure 1 It is a DNP3.0 communication topology diagram.

[0032] In this example, if figure 1 As shown, the DNP3.0 communication topology includes a master station and multiple sub-stations. Adding communication access control between the master station and the sub-stations can effectively prevent attacks without changing the network topology of the control system. The principle is as follows figure 2 As shown, this improves the security and reliability of the DNP3.0 communication process and ensures the safety of the power system.

[0033] Combine below image 3 The DNP communication access control method based on neural network described in the present invention is described in detail, specifically comprises the following steps:

[0034] S1, capture data packets

[0035] Use the Netfilter framework of Linux between the master station and the slave station to capture all DNP3.0 data packets within a unit time T on the DNP3.0 protocol port, so that the data packets...

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Abstract

The invention discloses a DNP (Distributed Network Protocol) communication access control method based on a neural network. A feature sequence is established by extracting destination addresses, source addresses, directions, primary state flag bits and application layer function codes in a DNP3.0 protocol; the feature sequence is learned by using the neural network, thus obtaining a detection model for access control; a captured data packet is preprocessed, thus obtaining a to-be-detected sequence; and after the to-be-detected sequence is detected by the detection model, whether the data packet is allowed to pass or not is judged, thus finishing DNP3.0 communication access control.

Description

technical field [0001] The invention belongs to the technical field of industrial control information security, and more specifically relates to a neural network-based DNP3.0 communication access control method. Background technique [0002] DNP3.0 (DistributedNetworkProtocolVersion3.0) is a communication protocol suitable for the field intelligent terminal and the control master station of the distribution automation system, and is widely used in the power system. The security of the DNP3.0 protocol is very important to the power system. [0003] However, DNP3.0 is an open protocol, its message structure and data format are public, and without sufficient security measures, there are potential security risks. Attackers can use datagrams that conform to the rules of the DNP3.0 protocol to For example, during the transmission of DNP3.0 protocol packets, attackers can intercept or tamper with DNP3.0 data packets by using data packets conforming to DNP3.0 protocol rules, causin...

Claims

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Application Information

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IPC IPC(8): H04L29/06
CPCH04L63/10H04L69/06
Inventor 辛晓帅程超郭娅雯邹见效彭超张健
Owner UNIV OF ELECTRONIC SCI & TECH OF CHINA
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