Machine Learning for Enabling High-Data-Rate Secure Random Communication: SVM as the Optimal Choice over Others

Areeb Ahmed; Zoran Bosnic; Areeb Ahmed; Zoran Bosnic

doi:10.3390/math13223590

November 8, 2025MathematicsOpen Access

Machine Learning for Enabling High-Data-Rate Secure Random Communication: SVM as the Optimal Choice over Others

View Full Paper

Ask AI

Bookmark

Share

Key Points

High-data-rate communication system integrates machine learning for enhanced security.
Support vector machine provided optimal performance along with a decision tree and k-nearest neighbor.
Approach included various ML algorithms to convey binary information securely using alpha-stable noise.
Implications suggest advances in secure communication are vital for the evolution of Industry 4.0.

No abstract yet

We only have this paper's title and publication details.

Read it at the source

Implication

Machine learning improves physical layer security and data rates in secure random communication systems, indicating enhanced capabilities for Industry 4.0 applications.

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Ahmed et al. (2025) studied this question.

synapsesocial.com/papers/69253a39c0ce034ddc357c63 https://doi.org/10.3390/math13223590

View Full Paper

Ask AI

Bookmark

Share

Machine Learning for Enabling High-Data-Rate Secure Random Communication: SVM as the Optimal Choice over Others

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Machine Learning for Enabling High-Data-Rate Secure Random Communication: SVM as the Optimal Choice over Others

Key Points

No abstract yet

Implication

Discussion

Cite This Study

Keep reading

Keep reading