Transfer Learning Approach to IDS on Cloud IoT Devices Using Optimized CNN-Reference-Cited by-同舟云学术

Transfer Learning Approach to IDS on Cloud IoT Devices Using Optimized CNN

Published:2023 Issue: Volume:11 Page:1023-1038
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Okey Ogobuchi Daniel¹^ORCID,Melgarejo Dick Carrillo²^ORCID,Saadi Muhammad³,Rosa Renata Lopes⁴^ORCID,Kleinschmidt Joao Henrique⁵,Rodriguez Demostenes Zegarra⁴^ORCID

Affiliation:

1. Graduate Program in Systems Engineering and Automation Engineering, Federal University of Lavras, Lavras, Minas Gerais, Brazil

2. School of Energy Systems, Lappeenranta–Lahti University of Technology, Lappeenranta, Finland

3. Department of Electrical Engineering, University of Central Punjab, Lahore, Pakistan

4. Department of Computer Science, Federal University of Lavras, Lavras, Minas Gerais, Brazil

5. Center for Engineering, Modeling and Applied Social Sciences, Federal University of ABC, Santo André, São Paulo, Brazil

Funder

Lappeenranta–Lahti University of Technology

Forum for Agricultural Research in Africa cum Tertiary Education Trust Fund

National Council for Scientific and Technological Development (CNPq) from Brazil

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10004922.pdf?arnumber=10004922

Reference65 articles.

1. Intrusion detection system for cloud computing;shelke;Int J Sci Technol Res,2012

2. MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles

3. Fog Computing and Smart Gateway Based Communication for Cloud of Things

4. MobileNetV2: Inverted Residuals and Linear Bottlenecks

5. A Survey on Intrusion Detection Systems for Fog and Cloud Computing

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