Machine learning approaches to IoT security: A systematic literature review

Author:

Ahmad Rasheed,Alsmadi Izzat

Funder

Texas A and M University-San Antonio

Publisher

Elsevier BV

Subject

Materials Chemistry,Economics and Econometrics,Media Technology,Forestry

Reference164 articles.

1. Network intrusion detection system: A systematic study of machine learning and deep learning approaches;Ahmad;Trans. Emerg. Telecommun. Technol.,2020

2. Agazzi, A. E. (2020). Smart home, security concerns of IoT. ArXiv:2007.02628 [Cs]. http://arxiv.org/abs/2007.02628

3. A survey of machine and deep learning methods for internet of things (IoT) security;Al-Garadi;IEEE Commun. Surv. Tutor.,2020

4. Al-Taleb, N., Saqib, N. A., Atta-ur-Rahman, & Dash, S. (2020). Cyber threat intelligence for secure smart city. ArXiv:2007.13233 [Cs]. http://arxiv.org/abs/2007.13233

5. Generation of DDoS attack dataset for effective IDS development and evaluation;Alzahrani;J. Inf. Secur.,2018

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