Private blockchain-based access control mechanism for unauthorized UAV detection and mitigation in Internet of Drones environment

Bera, Basudeb; Das, Ashok Kumar; Sutrala, Anil Kumar

doi:10.1016/j.comcom.2020.12.005

Cited by 85 publications

(55 citation statements)

References 59 publications

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“…The typical blockchain-based security and privacy model for the IoD network consist of three layers: A user layer, an infrastructure layer, and an IoD layer [28,30,79]. In the user layer, the interaction between two users and the interaction between user and drone is specified.…”

Section: ) Blockchain-based Iod Security and Privacy Modelmentioning

confidence: 99%

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

et al. 2021

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Internet of Drones (IoD) is a decentralized network and management framework that links drones' access to the controlled airspace and provides inter-location navigation services. The interconnection of drones in the IoD network is through the Internet of Things (IoT). Hence the IoD network is vulnerable to all the security and privacy threats that affect IoT networks. It is highly required to safeguard a good atmosphere free from security and privacy threats to get the desired performance from IoD applications. Security and privacy issues have significantly restricted the overall influence of the IoD paradigm. There are existing survey studies that helped lay a vital foundation for understanding the IoD security and privacy issues. However, not all have thoroughly investigated the level of security and privacy threats associated with the various drone categories. Besides, most existing review studies do not examine secured IoD architecture. This paper aims to assess the recent trends in the security and privacy issues that affect the IoD network. We investigate the level of security and privacy threats of the various drone categories. We then highlight the need for secured IoD architecture and propose one. We also give a comprehensive taxonomy of the attacks on the IoD network. Moreover, we review the recent IoD attack mitigating techniques. We also provide the performance evaluation methods and the performance metrics employed by the techniques. Finally, we give research future direction to help researchers identify the latest opportunities in IoD research.

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Section: ) Blockchain-based Iod Security and Privacy Modelmentioning

confidence: 99%

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

et al. 2021

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“…Bera et al [ 69 ] suggested a mechanism of access control for unauthorized UAV detection and mitigation. The proposed mechanism is enabled to protect data from a drone (UAV) to the server of the ground station and the abnormal data for the identification of unauthorized UAVs.…”

Section: Recent Advancementsmentioning

confidence: 99%

The Internet of Drones: Requirements, Taxonomy, Recent Advances, and Challenges of Research Trends

Abdelmaboud

2021

Sensors

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The use of unmanned aerial vehicles or drones are a valuable technique in coping with issues related to life in the general public’s daily routines. Given the growing number of drones in low-altitude airspace, linking drones to form the Internet of drones (IoD) is a highly desirable trend to improve the safety as well as the quality of flight. However, there remain security, privacy, and communication issues related to IoD. In this paper, we discuss the key requirements of security, privacy, and communication and we present a taxonomy of IoD based on the most relevant considerations. Furthermore, we present the most commonly used commercial case studies and address the latest advancements and solutions proposed for the IoD environments. Lastly, we discuss the challenges and future research directions of IoD.

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“…Moreover, the future research challenges and open issues are also presented in the paper. Bera et al [70] proposed an access control protocol for the detection and mitigation of unmanned aerial vehicles using the private blockchain in the Internetof-drones (IoD) environment. In this work, the authenticated transactions are collected by the ground station servers and a valid block is created based on the practical Byzantine fault tolerance consensus algorithm.…”

Section: Industrial Sectorsmentioning

confidence: 99%

Blockchain-Based Internet of Things and Industrial IoT: A Comprehensive Survey

Dwivedi

Roy

Karda

et al. 2021

Security and Communication Networks

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Industry 4.0 connects the latest technologies such as cloud computing, Internet of things (IoT), machine learning and artificial intelligence (ML/AI), and blockchain to provide more automation in the industrial process and also bridges the gap between the physical and digital worlds through the cyber-physical system. The inherent feature of IoT devices creates the industry to smart industry (referred to as industrial IoT, i.e., IIoT) through its data-driven decision policies. However, several challenges such as decentralization, security and privacy vulnerability, single point of failure (SPOF), and trust issues exist in the IoT system. Blockchain is one of the promising technologies that can bring about opportunities for addressing the challenges of IoT systems. In this article, we have investigated the integration of IoT with blockchain technology and provided an in-depth study of the blockchain-enabled IoT and IIoT systems. The state-of-the-art research is categorized into data storage and management technique, big data and cloud computing technique (finance and data auditing), and industrial sectors (supply chain, energy, and healthcare sector). The insightful discussion based on the different categories is also presented in the paper. In particular, first, we introduce the IoT and IIoT and then discuss the need for smart contracts in IoT and IIoT systems. Next, we concentrate on the convergence of blockchain and IoT with state-of-the-art research. In addition, this article also provides the open and future research directions towards this era with the highlighted observations.

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Private blockchain-based access control mechanism for unauthorized UAV detection and mitigation in Internet of Drones environment

Cited by 85 publications

References 59 publications

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

Internet of Drones Security and Privacy Issues: Taxonomy and Open Challenges

The Internet of Drones: Requirements, Taxonomy, Recent Advances, and Challenges of Research Trends

Blockchain-Based Internet of Things and Industrial IoT: A Comprehensive Survey

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