Unmanned aerial vehicle network elasticity measurement method and system

Abstract

The invention discloses an unmanned aerial vehicle network elasticity measurement method and system, and belongs to the field of unmanned aerial vehicle network security. Two core indexes which can reflect an in-out degree ratio and a hierarchical value of a network local topology environment are defined, on this basis, elements influencing network elasticity are divided into two directions of node elasticity and connecting edge elasticity, a cascade failure phenomenon is taken as a carrier, and index type expansion and index system construction are carried out respectively according to respective attribute characteristics. On one hand, node capability is measured, indexes such as absolute real-time communication pressure and relative real-time communication strength of nodes reflecting change adaptive capability of the nodes are constructed based on an in-out degree ratio, then influence of all the nodes is considered, and a point elastic matrix is introduced; and on the other hand, edge connection capability is measured, a key index, namely a hierarchical value change rate, is constructed based on a connected edge hierarchical value, an edge elasticity matrix is introduced by considering the influence of all connected edges on this basis, and a network elasticity index measurement method is given by integrating node elasticity, connected edge elasticity and internal association between the node elasticity and the connected edge elasticity.

Description

technical field [0001] The disclosure belongs to the field of UAV network security, and in particular relates to a method and system for measuring UAV network resilience. Background technique [0002] In recent years, UAVs have been developed rapidly and widely used in military and civilian fields. As communication technology upgrades and more and more complex mission types become the norm, UAV swarm networking technology provides new solutions. The cluster network realizes the task coordination of multiple UAVs through technologies such as cellular communication, and can also realize the stability of the network through the communication adjustment of the remaining UAVs when a single UAV fails. Cluster stability and task execution sustainability in the face of uncertain risks. However, there are few studies on how to adjust the communication topology in the face of risks and failures, how to analyze the transmission mode of failures to control the failure scale, and how t...

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Problems solved by technology

[0003] Aiming at the deficiencies of the prior art, the purpose of the present disclosure is to provide a UAV network resilience measurement method and its system, which solves the problem of the UAV cluster network in the prior art in the face of uncertain risks. The Unquantifiable Problem of Resilience

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