2023
DOI: 10.1016/j.neunet.2022.12.011
|View full text |Cite
|
Sign up to set email alerts
|

Proposed algorithm for smart grid DDoS detection based on deep learning

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
15
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
3
1

Relationship

0
7

Authors

Journals

citations
Cited by 42 publications
(15 citation statements)
references
References 63 publications
0
15
0
Order By: Relevance
“…Also, it can be observed that the WSEO-HDLCS algorithm extends greater ROC values on two classes. Finally, the improved performance of the WSEO-HDLCS technique can be ensured by studying the comparisons in Table 3 and Figure 11 [12,[22][23][24]. The simulation values portrayed that the hybrid deep belief and network GRU-recommended models have shown poor performance.…”
Section: Results Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…Also, it can be observed that the WSEO-HDLCS algorithm extends greater ROC values on two classes. Finally, the improved performance of the WSEO-HDLCS technique can be ensured by studying the comparisons in Table 3 and Figure 11 [12,[22][23][24]. The simulation values portrayed that the hybrid deep belief and network GRU-recommended models have shown poor performance.…”
Section: Results Analysismentioning
confidence: 99%
“…Continuous wavelet transform (CWT) has been employed in the proposed method to transform 1D traffic data to a 2D time-frequency domain scalogram as the input to a wavelet CNN (WavCovNet) for detecting anomalous performance, with information by differentiating attack features in standard outlines. Diaba and Elmusrati [12] suggested a hybrid DL approach, which focused on DDoS attacks on the transmission framework of SGs. The recommended technique is hybridized by the GRU and CNN methods.…”
Section: Related Workmentioning
confidence: 99%
“…In 2023, Mukherjee et al [2] have demonstrated an efficient formulation technique for anomaly detection in smart grids. Here, the suggested technique was highly efficient, robust and non-linear to identify the accurate locations of the intrusions for the detection of blind attacks in real-world applications.…”
Section: A Related Workmentioning
confidence: 99%
“…In 2023, Diaba et.al [2], [3] have proposed a hybridized deep learning-based methods to recognize the circulated Denial of Service (DOS) attacks in a smart grid over a communication structure. Here, the suggested technique was fused using GRU and Conventional Neural Networks (CNN).…”
Section: A Related Workmentioning
confidence: 99%
See 1 more Smart Citation