Performance analysis of binary and multiclass models using azure machine learning

@inproceedings{Rajagopal2020PerformanceAO,
  title={Performance analysis of binary and multiclass models using azure machine learning},
  author={S. Rajagopal and Katiganere Siddaramappa Hareesha and Poornima Panduranga Kundapur},
  year={2020}
}
Network data is expanding and that too at an alarming rate. Besides, the sophisticated attack tools used by hackers lead to capricious cyber threat landscape. Traditional models proposed in the field of network intrusion detection using machine learning algorithms emphasize more on improving attack detection rate and reducing false alarms but time efficiency is often overlooked. Therefore, in order to address this limitation, a modern solution has been presented using Machine Learning-as-a… CONTINUE READING

References

SHOWING 1-10 OF 37 REFERENCES
A Survey of Network-based Intrusion Detection Data Sets
  • 76
  • PDF
A holistic review of Network Anomaly Detection Systems: A comprehensive survey
  • 54
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
  • 33
  • PDF
Intrusion detection model using machine learning algorithm on Big Data environment
  • 29
Network Intrusion Detection in Big Dataset Using Spark
  • 20
A GA-LR wrapper approach for feature selection in network intrusion detection
  • 92
  • PDF
Machine Learning-as-a-Service and Its Application to Medical Informatics
  • 9
  • PDF