Performance Analysis of Machine Learning Algorithms in Intrusion Detection and Classification-Reference-Cited by-同舟云学术

Performance Analysis of Machine Learning Algorithms in Intrusion Detection and Classification

Published:2022 Issue: Volume: Page:283-289
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Dilip R.^ORCID,Samanvita N.,Pramodhini R.,Vidhya S. G.,Telkar Bhagirathi S.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-07012-9_25

Reference14 articles.

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2. Zarpelão, B.B., Miani, R.S., Kawakani, C.T., de Alvarenga, S.C.: A survey of intrusion detection in internet of things. J. Netw. Comput. Appl. 84, 25–37 (2017)

3. Fragkiadakis, A.G., Siris, V.A., Petroulakis, N.E., Traganitis, A.P.: Anomaly-based intrusion detection of jamming attacks, local versus collaborative detection. Wiley Online Library, February 2013. wileyonlinelibrary.com, https://doi.org/10.1002/wcm.2341

4. Yan, S., Chung, Y.: Improved ad hoc on-demand distance vector routing (AODV) protocol based on blockchain node detection in ad hoc networks. Int. J. Internet Broadcast. Commun. 12(3), 46–55 (2020)

5. Patel, A., Jain, A.: A study of various Black Hole Attack techniques and IDS in MANET. Int. J. Adv. Comput. Technol. 4(3), 58–62 (2015)

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