Generalizing Supervised Learning for Intrusion Detection in IoT Mesh Networks-Reference-Cited by-同舟云学术

Generalizing Supervised Learning for Intrusion Detection in IoT Mesh Networks

Published:2022 Issue: Volume: Page:214-228
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
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Author:

Keipour Hossein,Hazra Saptarshi,Finne Niclas,Voigt Thiemo

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-0468-4_16

Reference28 articles.

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2. Alabsi, B.A., Anbar, M.: A comprehensive review on security attacks in dynamic wireless sensor networks based on RPL protocol. Int. J. Pure Appl. Math. 119(12), 12481–12495 (2018)

3. Ambili, K., Jose, J.: TN-IDS for network layer attacks in RPL based IoT systems. IACR Cryptol. ePrint Arch. 2020, 1094 (2020)

4. Ashton, K., et al.: That ‘internet of things’ thing. RFID J. 22(7), 97–114 (2009)

5. Bengio, Y.: Learning deep architectures for AI. Found. Trends® Mach. Learn. 2(1), 1–127 (2009). https://doi.org/10.1561/2200000006. ISSN 1935-8237

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