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Ensuring Intrusion Detection for IoT Services Through an Improved CNN · Peerford

Article · Journal · 2023

Ensuring Intrusion Detection for IoT Services Through an Improved CNN

Sunday Adeola Ajagbe, Joseph Bamidele Awotunde, Hector Florez

SN Computer Science

Closed access
World top 10%
International · 2 countries

Go to the publisher 10.1007/s42979-023-02448-y

Citations: 21from other works
Field-weighted impact: 2.711.00 is the world average for its field and year
Among its field: Top 10%by citations, against works of its field and year
Authors: 3from 3 institutions

Authors

3 authors across 3 institutions in 2 countries

Sunday Adeola AjagbeFirst authorCorresponding
- Abiola Ajimobi Technical University Ibadan (NG)
Joseph Bamidele Awotunde
- University of Ilorin (NG)
Hector FlorezSenior author

Development goals

7Affordable and clean energy

Countries on it

Colombia
Nigeria

Also on it

Universidad Distrital Francisco José de Caldas

education · CO

Fields

A work can sit in several, each with a score

Network Security and Intrusion DetectionTopic
Advanced Malware Detection TechniquesTopic
Anomaly Detection Techniques and ApplicationsTopic