SP2F: A secured privacy-preserving framework for smart agricultural Unmanned Aerial Vehicles

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

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation