Transferability of Machine Learning Algorithm for IoT Device Profiling and Identification

Author:

Danso Priscilla Kyei1ORCID,Dadkhah Sajjad1ORCID,Pinto Neto Euclides Carlos1,Zohourian Alireza1,Molyneaux Heather2,Lu Rongxing1ORCID,Ghorbani Ali A.1ORCID

Affiliation:

1. Canadian Institute for Cybersecurity, Faculty of Computer Science, University of New Brunswick, Fredericton, Canada

2. Cybersecurity Team, Digital Technologies Research Center, National Research Council, Fredericton, Canada

Funder

Canadian Institute for Cybersecurity

National Research Council of Canada’s Artificial Intelligence for Logistics Program

NSERC under Discovery

Tier 1 Canada Research Chair

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Reference41 articles.

1. A literature review of the adoption of Internet of Things: Directions for future work;Almomani;Int. J. Contemp. Manage. Inf. Technol.,2022

2. IoT Vulnerability Assessment for Sustainable Computing: Threats, Current Solutions, and Open Challenges

3. Cleaning the NVD: Comprehensive quality assessment, improvements, and analyses;Anwar;arXiv:2006.15074,2020

4. On testing machine learning programs

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