False data filtering and detecting method for information physical convergence network

Abstract

The invention discloses a false data filtering and detecting method for an information physical convergence network. The method comprises the following steps: firstly, constructing a node cluster; distributing authentication information to each sensing node in each node cluster; encrypting the measurement data and the information authentication code of each sensing node to form measurement information, and sending the measurement information to a cluster head node; the cluster head node fuses the received measurement information of the T different sensing nodes and sends the fused informationto a controller; in the sending process, detecting and filtering the fusion information received by each transmission node; under the condition that a large amount of extra information does not need to be added, it is ensured that false measurement information is detected and filtered in the network transmission process; the additional information load of the network is reduced, and the service life of the sensor is prolonged; the influence of T-threshold limitation is avoided. According to the method, static routing and node positioning are avoided, and the method is more suitable for solvingthe network security problem of an information physical convergence network system.

Description

technical field [0001] The invention belongs to the technical field of computer network security, and in particular relates to a method for filtering and detecting false data oriented to a cyber-physical fusion network. Background technique [0002] With the continuous development of sensor technology and Cyber-Physical Networked System (CPNS), computer network technology and physical systems have been deeply integrated, and it has also promoted the development of many important daily applications, such as smart grid and intelligent transportation, etc. [0003] CPNS mainly includes sensors, controllers (computing units), actuators, and transmission networks. The sensor nodes are mainly used to obtain physical system measurement values, process the measurement data and send them to the controller; the controller is used to evaluate the state of the physical system, and Send corresponding action instructions to the actuator; the actuator performs feedback control on the phys...

AI Technical Summary

Problems solved by technology

This method is limited by the T-threshold problem, that is, when the network attacker captures different groups of T sensor nodes, this false data filtering method will fail

Some methods use static routing and node location to solve the T threshold limit problem, but static routing is not suitable for cyber-physical fusion network systems

In addition, some existing methods introduce a large amount of additional information to improve policy security, but a large amount of additional information will increase the network load and reduce the service life of the sensor stage, so it is not suitable for a large number of sensor node cyber-physical fusion network systems

[0006] For CPNS, it is extremely difficult to efficiently detect and filter false measurement data injected by network attackers in CPNS using the above method

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