Improvement Networks Intrusion Detection System Using Artificial Neural Networks (ANN)

Author:

AL-inizi Mahdi Salah Mahdi,Alzubaidi Yasser Taha,Oleiwi Safa Hussein,Zahra Nagham Amjed Abdul,Yonan Janan Farag

Publisher

Springer Nature Singapore

Reference21 articles.

1. Deshmukh-Bhosale S, Sonavane SS (2019) A real-time intrusion detection system for wormhole attack in the RPL based internet of things. Proc Manuf, Elsevier 32:840–847

2. Koroniotis N, Moustafa N, Sitnikova E (2019) Forensics and deep learning mechanisms for botnets in internet of things: a survey of challenges and solutions. IEEE Access 7:61764–61785

3. Hemdan EE-D, Manjaiah DH (2017) Internet of nano-things forensics: performing digital forensics in nanoscale systems. In Internet of Things (IoT), CRC Press, pp 119–138

4. Alloghani M, Al-Jumeily D, Mustafina J, Hussain A, Aljaaf AJ (2019) A systematic review on supervised and unsupervised machine learning algorithms for data science. Supervised Unsupervised Learn Data Sci, Springer, pp 3–21

5. Mohammadi S, Mirvaziri H, Ghazizadeh-Ahsaee M, Karimipour H (2019) Cyber intrusion detection by combined feature selection algorithm. J Inf Secur Appl, Elsevier 44:80–88

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