基于区块链的无人机集群安全协作

doi:10.11896/jsjkx.201100199

摘要/Abstract

摘要： 无人机集群拓展了无人机的应用领域,也带来了更为复杂的安全性挑战。无人机收集的情报与无人机本身都易于成为黑客攻击的目标,一旦黑客截获通信信息或劫持无人机,都将对集群的作战环境产生影响,甚至造成泄露国家机密、扰乱社会秩序等严重后果。文中介绍了无人机集群所面临的安全问题与联盟链Hyperledger Fabric的工作原理,并基于Hyperledger Fabric构建了对等网络模型UAV-Swarm Net,利用区块链账本与智能合约实现无人机的数据共享与协同决策,为无人机集群的安全协作奠定了基础。UAV-Swarm Net网络模型具备分布式、多副本、加密通道传输与责任可追溯的特性,能有效保障数据的机密性、完整性与可用性,增强系统的鲁棒性与可扩展性,为未来无人机体系化作战环境下,无人机协同作战面临的信息安全问题提供了新的解决方案。

关键词: Hyperledger Fabric, 区块链, 网络安全, 无人机集群, 协同作战

Abstract: Unmanned aircraft vehicle swarm not only broadens the application fields of unmanned aircraft vehicles (UAVs),but also brings more complex security issues.Both the intelligence collected by UAVs and UAV itself are vulnerable to hacker attacks.Once hackers intercept communication information or hijack UAVs,it will have an adverse effect on the combat environment,and even cause serious consequences such as leaking state secrets and disrupting social order.This article introduces the security issues faced by UAV swarm and the principle of the consortium blockchain－Hyperledger Fabric.Then it designs a peer-to-peer network model named “UAV-Swarm Net” based on Hyperledger Fabric,using distributed ledgers and smart contracts to implement the safe cooperative combat of UAV swarm.The UAV-Swarm Net model has the characteristics of distribution,multiple copies,encrypted channel transmission and responsibility traceability,which can effectively guarantee the confidentiality,integrity and availability of data,enhance the robustness and scalability of UAV system.It provides a new solution to the information security problems faced by UAV swarm in the future UAV systemized combat environment.

Key words: Blockchain, Cooperative combat, Hyperledger Fabric, Network security, UAV swarm

中图分类号:

TP319

王宇晨, 齐文慧, 徐立臻. 基于区块链的无人机集群安全协作[J]. 计算机科学, 2021, 48(11A): 528-532. https://doi.org/10.11896/jsjkx.201100199

WANG Yu-chen, QI Wen-hui, XU Li-zhen. Security Cooperation of UAV Swarm Based on Blockchain[J]. Computer Science, 2021, 48(11A): 528-532. https://doi.org/10.11896/jsjkx.201100199

参考文献

[1]LIU H F,SU J M,FU Y J.Summary of Research on Unmanned System Cluster and Its Countermeasure Technology[J].Flying Missile,2018(11):35-40,91.
[2]GHAMRY K A,KAMEL M A,ZHANG Y.Multiple UAVs in forest fire fighting mission using particle swarm optimization[C]//2017 International Conference on Unmanned Aircraft Systems (ICUAS).IEEE,2017:1404-1409.
[3]CHEN S J,ZHANG K,HE Y.High dynamic self-organizingdrone network architecture design and model research[J].Computer Science,2015,42(2):50-54.
[4]JAVAID A Y,SUN W,DEVABHAKTUNI V K,et al.Cyber security threat analysis and modeling of an unmanned aerial vehicle system[C]//2012 IEEE Conference on Technologies for Homeland Security (HST).IEEE,2012:585-590.
[5]ANDROULAKI E,BARGER A,BORTNIKOV V,et al.Hy-perledger fabric:a distributed operating system for permissioned blockchains[C]//Proceedings of the Thirteenth EuroSys Conference.2018:1-15.
[6]DUAN H B,SHEN Y K,WANG Y,et al.Hot reviews in the field of drones in 2018[J].Science & Technology Review,2019,37(3):82-90.
[7]DUAN H B,QIU H X,CHEN L,et al.Research Prospects of UAV Autonomous Cluster Technology[J].Science & Techno-logy Review,2018,36(21):90-98.
[8]JENSEN I J,SELVARAJ D F,RANGANATHAN P.Block-chain Technology for Networked Swarms of Unmanned Aerial Vehicles (UAVs)[C]//2019 IEEE 20th International Symposium on A World of Wireless,Mobile and Multimedia Networks(WoWMoM).IEEE,2019:1-7.
[9]RODDAY N M,SCHMIDT R O,PRAS A.Exploring security vulnerabilities of unmanned aerial vehicles[C]//NOMS 2016-2016 IEEE/IFIP Network Operations and Management Symposium.IEEE,2016:993-994.
[10]SEDJELMACI H,SENOUCI S M,ANSARI N.Intrusiondetection Andean framework againstlethaltacksin UAV-aided Networks:A Bayesiangame-theoretic metrology[J].IEEE Transformaton International Transportation Transportation Systems,2016(99):1-11.
[11]YOON K,PARK D,YIM Y,et al.Security authentication system using encrypted channel on uav network[C]//2017 First IEEE International Conference on Robotic Computing (IRC).IEEE,2017:393-398.
[12]GORENFLO C,LEE S,GOLAB L,et al.Fastfabric:Scaling hyperledger fabric to 20 000 transactions per second[C]//2019 IEEE International Conference on Blockchain and Cryptocurrency (ICBC).IEEE,2019:455-463.
[13]H CHAO,MAHESHWARI A,SUDARSANAN V,et al.UAV traffic information exchange network[OL].http://dx.doi.org/10.252018:14/6.2018-3347.
[14]DORRI A,KANHERE S S,JURDAK R,et al.Blockchain for IoT security and privacy:The case study of a smart home[C]//2017 IEEE International Conference on Pervasive Computing and Communications Workshops.PerComWorkshops,2017:618-623.
[15]LIANG X,ZHAO J,SHETTY S,et al.Towards data assurance and resilience in IoT using blockchain[C]//MILCOM 2017-2017 IEEE Military Communications Conference (MILCOM).IEEE,2017:261-266.
[16]BOZIC N,PUJOLLE G,SECCI S,A tutorial on blockchain and applications to secure network control-planes[C]//2016 3rd Smart Cloud Networks Systems.SCNS,2016:1-8.
[17]VADLAMANI S,EKSIOGLU B,NANDI H M,et al.Jamming attacks on wireless networks:A taxonomic survey[J].Int.J.Prod.Econ.,2016(172):76-94.
[18]ZHOU Y.Summary of UAV Ground Station Development[J].Aviation Electronics Technology,2010,41(1):1-6.
[19]CAMPION M,RANGANATHAN P,FARUQUE S.UAVswarm communication and control architectures:a review[J].Journal of Unmanned Vehicle Systems,2018,7(2):93-106.
[20]MCGOVERN S.Blockchain for Unmanned Aircraft Systems[R].John A.Volpe National Transportation Systems Center (US),2020.
[21]JENSEN I J,SELVARAJ D F,RANGANATHAN P.Blockchain Technology for Networked Swarms of Unmanned Aerial Vehicles (UAVs)[C]//2019 IEEE 20th International Sympo-sium on A World of Wireless,Mobile and Multimedia Networks(WoWMoM).IEEE,2019:1-7.

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