AEaaS: Artificial Intelligence Edge-of-Things as a Service for Intelligent Remote Farm Security and Intrusion Detection Pre-alarm System
Author:
Affiliation:
1. De La Salle University,Department of Electronics and Computer Engineering,Manila,Philippines
2. De La Salle University,Department of Manufacturing Engineering and Management,Manila,Philippines
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10109352/10109274/10109572.pdf?arnumber=10109572
Reference49 articles.
1. Foundations and Evolution of Modern Computing Paradigms: Cloud, IoT, Edge, and Fog
2. Edge Computing-Based Intrusion Detection System for Smart Cities Development Using IoT in Urban Areas
3. Fog Computing and Its Role in Development of Smart Applications
4. INTRUSION DETECTION SYSTEMS FOR IOT: OPPORTUNITIES AND CHALLENGES OFFERED BY EDGE COMPUTING AND MACHINE LEARNING;spadaccino,0
5. An Experimental study of IoT-Based Topologies on MQTT protocol for Agriculture Intrusion Detection;simla,2022
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