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Computer Science > Cryptography and Security

arXiv:2210.11745 (cs)
[Submitted on 21 Oct 2022]

Title:BC-IoDT: Blockchain-based Framework for Authentication in Internet of Drone Things

Authors:Junaid Akram, Awais Akram, Rutvij H. Jhaveri, Mamoun Alazab, Haoran Chi
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Abstract:We leverage blockchain technology for drone node authentication in internet of drone things (IoDT). During the authentication procedure, the credentials of drone nodes are examined to remove malicious nodes from the system. In IoDT, drones are responsible for gathering data and transmitting it to cluster heads (CHs) for further processing. The CH collects and organizes data. Due to computational load, their energy levels rapidly deplete. To overcome this problem, we present a low-energy adaptive clustering hierarchy (R2D) protocol based on distance, degree, and residual energy. R2D is used to replace CHs with normal nodes based on the biggest residual energy, the degree, and the shortest distance from BS. The cost of keeping a big volume of data on the blockchain is high. We employ the Interplanetary File System (IPFS), to address this issue. Moreover, IPFS protects user data using the industry-standard encryption technique AES-128. This standard compares well to other current encryption methods. Using a consensus mechanism based on proof of work requires a high amount of computing resources for transaction verification. The suggested approach leverages a consensus mechanism known as proof of authority (PoA) to address this problem . The results of the simulations indicate that the suggested system model functions effectively and efficiently. A formal security analysis is conducted to assess the smart contract's resistance to attacks.
Comments: 6 pages, 3 figures, ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond
Subjects: Cryptography and Security (cs.CR); Distributed, Parallel, and Cluster Computing (cs.DC)
Cite as: arXiv:2210.11745 [cs.CR]
  (or arXiv:2210.11745v1 [cs.CR] for this version)
  https://doi.org/10.48550/arXiv.2210.11745
arXiv-issued DOI via DataCite
Journal reference: 2022 ACM MobiCom Workshop on Drone Assisted Wireless Communications for 5G and Beyond
Related DOI: https://doi.org/10.1145/3555661.3560874
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Submission history

From: Junaid Akram [view email]
[v1] Fri, 21 Oct 2022 05:48:44 UTC (2,463 KB)
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