CEIFA: A multi-level anomaly detector for smart farming-Reference-Cited by-同舟云学术

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CEIFA: A multi-level anomaly detector for smart farming

Published:2022-11 Issue: Volume:202 Page:107279
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Zanella Angelita Rettore de Araujo,da Silva Eduardo,Albini Luiz Carlos Pessoa

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference56 articles.

1. Incremental anomaly-based intrusion detection system using limited labeled data;Alaei,2017

2. World agriculture towards 2030/2050: the 2012 revision;Alexandratos,2012

3. Internet of things security, device authentication and access control: A review;Ali,2019

4. A user authentication scheme of IoT devices using blockchain-enabled fog nodes;Almadhoun,2018

5. A study on smart irrigation system using IoT for surveillance of crop-field;Ashwini;Int. J. Eng. Technol. (UAE),2018

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1. Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry;Lecture Notes in Computer Science;2024

2. A new location verification protocol and blockchain-based drone rental mechanism in smart farming;Computers and Electronics in Agriculture;2023-11

3. Enhancing Anomaly Detection in Agriculture by Considering the Impact of Concept Drift: An Exploratory Study Using Digital Replica;2023 The 5th World Symposium on Software Engineering (WSSE);2023-09-22

4. A Relative Humidity Measurement System Tolerant to Condensation Events Applied to Apple Storage;2023 7th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT);2023-08-28

5. Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey;IEEE Access;2023

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