Intrusion Detection System Intensive on Securing IoT Networking Environment Based on Machine Learning Strategy-Reference-Cited by-同舟云学术

Intrusion Detection System Intensive on Securing IoT Networking Environment Based on Machine Learning Strategy

Published:2022 Issue: Volume: Page:139-157
ISSN:2367-4512
Container-title:Intelligent Data Communication Technologies and Internet of Things
language:
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Author:

Jeyanthi D. V.,Indrani B.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-7610-9_11

Reference18 articles.

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2. Phadke A, Kulkarni M, Bhawalkar P, Bhattad R (2019) A review of machine learning methodologies for network ıntrusion detection. In: Third national conference on computing methodologies and communication (ICCMC 2019), pp 272–275

3. Soni P, Sharma P (2014) An intrusion detection system based on KDD-99 data using data mining techniques and feature selection. Int J Soft Comput Eng (IJSCE) 4(3):1–8

4. Somwang P, Lilakiatsakun W (2012) Intrusion detection technique by using fuzzy ART on computer network security. In: IEEE—7th IEEE conference on ındustrial electronics and applications (ICIEA)

5. Horng S-J, Su M-Y, Chen Y-H, Kao T-W, Chen R-J, Lai J-L, Perkasa CD (2011) A novel intrusion detection system based on hierarchical clustering and support vector machines. Exp Syst Appl 38(1):306–313

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