基于区块链的无人机战场安全智能数据传播框架

Nilesh Kumar Jadav, Tejal Rathod, Rajesh Gupta, Sudeep Tanwar, Neeraj Kumar, Rahat Iqbal, Shadi Atalla, Hijji Mohammad, Saba Al-Rubaye
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引用次数: 1

摘要

现代战争场景面临着巨大的挑战,可能会危及人员的生命,这突出了数据采集对成功赢得军事行动的必要性。在这种情况下,无人驾驶飞行器(uav)通过从敌方位置秘密获取侦察数据以使友军意识到这一点而发挥重要作用。获取的数据对任务至关重要,需要保护它们不被入侵者窃取,因为入侵者可能会为了自己的利益而隐式地操纵这些数据。此外,无人机收集了大量的数据,包括高清图像和监控视频;处理如此大量的数据是传统通信网络的瓶颈。为了缓解这些问题,本文提出了基于区块链和机器学习(ML)的第六代(6G)网络的安全和智能无人机通信,即Block-USB。拟议的系统避免了对入侵者(流氓无人机或恶意控制器)披露高度敏感的军事行动。为了提高区块链的存储容量,建议采用链外存储,即IPFS (Interplanetary file system)。我们还提出了一个案例研究,通过考虑控制器/无人机恶意的多种场景来保护基于无人机的军事行动。该系统在分类精度、通信延迟和数据可扩展性方面优于传统的基准4G/5G和非基于ipfs的系统。
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Blockchain-Based Secure and Intelligent Data Dissemination Framework for UAVs in Battlefield Applications
The modern warfare scenario has immense challenges that can risk personnel's lives, highlighting the need for data acquisition to win a military operation successfully. In this context, unmanned aerial vehicles (UAVs) play a significant role by covertly acquiring reconnaissance data from an enemy location to make the friendly troops aware. The acquired data is mission-critical and needs to be secured from the intruders, which can implicitly manipulate it for their benefit. Moreover, UAVs collect a large amount of data, including high-definition images and surveillance videos; handling such a massive amount of data is a bottleneck on traditional communication networks. To mitigate these issues, this article proposes a blockchain and machine learning (ML)-based secure and intelligent UAV communication underlying sixth-generation (6G) networks, that is, Block-USB. The proposed system refrain the disclosure of highly-sensitive military operations from intruders (either a rogue UAV or a malicious controller). The proposed system uses off-chain storage, that is, Interplanetary file system (IPFS), to improve the blockchain storage capacity. We also present a case study on securing UAV-based military operations by considering multiple scenarios considering controller/UAV malicious. The performance of the proposed system outperforms the traditional baseline 4G/5G and non IPFS-based systems in terms of classification accuracy, communication latency, and data scalability.
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来源期刊
CiteScore
10.80
自引率
0.00%
发文量
55
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