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An efficient approach to detect  distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization

Research article (Transactions on Emerging Telecommunications Technologies, 2023) · cited 20× · AI/ML
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An efficient approach to detect  distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization

Summary

An efficient approach to detect  distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization is a scholarly article[1].

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  • An efficient approach to detect  distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). An efficient approach to detect  distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-efficient-approach-to-detect-distributed-denial-of-service-attacks-for-software-defined-internet-of-things-combining-
MLA “An efficient approach to detect  distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-efficient-approach-to-detect-distributed-denial-of-service-attacks-for-software-defined-internet-of-things-combining-.
BibTeX @misc{4ortxyz_an-efficient-approach-to-detect-distributed-denial-of-service-attacks-for-software-defined-internet-of-things-combining-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient approach to detect  distributed denial of service attacks for software defined internet of things combining autoencoder and extreme gradient boosting with feature selection and hyperparameter tuning optimization}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-approach-to-detect-distributed-denial-of-service-attacks-for-software-defined-internet-of-things-combining-}, note = {Accessed: 2026-05-24}}
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