A Study on Secured Unmanned Aerial Vehicle-Based Fog Computing
Networks
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Published:2023-11-03
Issue:2
Volume:7
Page:
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ISSN:2574-0741
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Container-title:SAE International Journal of Connected and Automated Vehicles
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language:en
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Short-container-title:SAE Intl. J CAV
Author:
Gupta Akshita1, Gupta Sachin Kumar2
Affiliation:
1. Shri Mata Vaishno Devi University, School of Electronics and
Communication Engineering, India 2. Central University of Jammu, Department of Electronics and
Communication Engineering, India
Abstract
<div>With the recent advancement in technologies, researchers worldwide have a growing
interest in unmanned aerial vehicles (UAVs). The last few years have been
significant in terms of its global awareness, adoption, and applications across
industries. In UAV-aided wireless networks, there are some limitations in terms
of power consumption, data computation, data processing, endurance, and
security. So, the idea of UAVs and Edge or Fog computing together deals with the
limitations and provides intelligence at the network’s edge, which makes it more
valuable to use in emergency applications. Fog computing distributes data in a
decentralized way and blockchain also works on the principle of
decentralization. Blockchain, as a decentralized database, uses cryptographic
methods including hash functions and public key encryption to secure the user
information. It is a prominent solution to secure the user’s information in
blocks and maintain privacy. The ongoing development in collaborative UAVs and
fog computing networks had put further a major challenge of security that need
to be investigated. This article presents a study on security attacks and
requirements needed to ensure security in UAV-based fog networks. We provide
blockchain security in UAV-based fog computing to secure a large volume of data.
The communicated data is stored in the form of blocks with hash functions, which
guarantee security in the network. Thus, the aim of blockchain security is to
guarantee that any hostile third party cannot corrupt or change the live
missions or tasks allocated to actual UAV–Fog nodes.</div>
Publisher
SAE International
Subject
Artificial Intelligence,Computer Science Applications,Automotive Engineering,Control and Systems Engineering,General Medicine
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