Effective Internet of Things botnet classification by data upsampling using generative adversarial network and scale fused bidirectional long short term memory attention model-Reference-Cited by-同舟云学术

Effective Internet of Things botnet classification by data upsampling using generative adversarial network and scale fused bidirectional long short term memory attention model

Published:2022-10-19 Issue:28 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

K Geetha¹^ORCID,S H Brahmananda¹

Affiliation:

1. GITAM School of Technology GITAM Deemed to be University Bengaluru India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7380

Reference59 articles.

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2. Intelligent Detection of IoT Botnets Using Machine Learning and Deep Learning

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4. Towards a Hybrid Deep Learning Model for Anomalous Activities Detection in Internet of Things Networks

5. Deep Learning Anomaly Detection for Cellular IoT With Applications in Smart Logistics

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