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Design of Kill Chain Architecture for UAV Swarm Against Large-Scale Unknown Targets

Published: 17 April 2024 Publication History

Abstract

UAV swarm is a new powerful force in future warfare, characterized by its high autonomy, stealth and rapid deployment. A UAV swarm can form a closed kill chain with various payloads for reconnaissance, control, strike, assessment and so on, which can significantly enhance combat effectiveness. However, when facing large unknown targets, the existing architecture faces a large number of uncertain events in the control stage, which causes the kill chain performance to drop sharply. To cope with the large uncertainty, this paper uses the advantages of SDN/NFV architecture and the consensus feature of blockchain technology, and designs a three-layer kill chain architecture with “sense-control-strike” three layers, focusing on compressing decision time and accelerating the closure of the kill chain. The effectiveness of the proposed architecture is verified by multiple scenarios of structural validity simulation on a 200km wide, 300km long rectangular task area. The proposed architecture provides valuable guidance for accelerating the closure speed of UAV swarm kill chains.

References

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    EITCE '23: Proceedings of the 2023 7th International Conference on Electronic Information Technology and Computer Engineering
    October 2023
    1809 pages
    ISBN:9798400708305
    DOI:10.1145/3650400
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 17 April 2024

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