# Proposed algorithm for smart grid DDoS detection based on deep learning

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/proposed-algorithm-for-smart-grid-ddos-detection-based-on-deep-learning/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Sayawu Yakubu Diaba,Mohammed Elmusrati |
| Citations | 112 |
| DOI | 10.1016/j.neunet.2022.12.011 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | hybrid |
| OA URL | https://doi.org/10.1016/j.neunet.2022.12.011 |
| OpenAlex ID | https://openalex.org/W4312058488 |
| PMID | 36577364 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Mohammed Elmusrati](https://scholariq.org/researchers/mohammed-elmusrati/)

## Paper journal

- [Neural Networks](https://scholariq.org/journals/neural-networks/)

## Paper primary topic

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)

## Paper topics

- [Network Security and Intrusion Detection](https://scholariq.org/topics/network-security-and-intrusion-detection/)
- [Smart Grid Security and Resilience](https://scholariq.org/topics/smart-grid-security-and-resilience/)
- [Smart Grid and Power Systems](https://scholariq.org/topics/smart-grid-and-power-systems/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.