Prevention and Mitigation of Intrusion Using an Efficient Ensemble Classification in Fog Computing

Author:

Paul P. Mano,Shekhar R.,Jingle I. Diana Jeba,Jingle I. Berin Jeba

Publisher

Springer Nature Singapore

Reference19 articles.

1. An X, Zhou X, Lü X, Lin F, Yang L (2018) Sample selected extreme learning machine based intrusion detection in fog computing and MEC. Wirel Comm Mob Comp

2. Sadaf K, Sultana J (2020) Intrusion detection based on autoencoder and isolation forest in fog computing. IEEE Access 8:167059–167068

3. Thorat VA (2021) Cloud intrusion detection using modified crow search optimized based neural network. J Netw Commun Syst 4(2):9–15

4. Ram Kumar MP, Daniya T, Mano Paul P, Raja Kumar S (2022) Intrusion detection using optimized ensemble classification in fog computing paradigm. Knowl-Based Syst. Elsevier, ISSN: 0950-7051

5. Selvaraj JD, Jingle ID, Paul PM (2019) EShield: an effective detection and mitigation of flooding in DDoS attacks over large scale networks. IJEAT 8(5). ISSN: 2249-8958

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