SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles
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Title
SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles
Authors
Keywords
Blockchain technology, Artificial intelligence, Deep learning, Intrusion detection system, Privacy-preservation, Smart agriculture, Unmanned Aerial Vehicles (UAVs)
Journal
Computer Networks
Volume 187, Issue -, Pages 107819
Publisher
Elsevier BV
Online
2021-01-10
DOI
10.1016/j.comnet.2021.107819
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