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 holistic review of Network Anomaly Detection Systems: A comprehensive survey
- Computer Science
- J. Netw. Comput. Appl.
- 2019
- 54
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
- Computer Science
- Big Data Res.
- 2018
- 33
- PDF
Building A Fast Intrusion Detection System For High-Speed-Networks: Probe and DoS Attacks Detection
- Computer Science
- 2018
- 10
Intrusion detection model using machine learning algorithm on Big Data environment
- Computer Science
- Journal of Big Data
- 2018
- 29
Performance evaluation of intrusion detection based on machine learning using Apache Spark
- Computer Science
- 2018
- 44
A GA-LR wrapper approach for feature selection in network intrusion detection
- Computer Science
- Comput. Secur.
- 2017
- 92
- PDF
A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
- Engineering
- 2017
- 421
Machine Learning-as-a-Service and Its Application to Medical Informatics
- Computer Science
- MLDM
- 2017
- 9
- PDF