Tufan, E. Et Al. 2021. Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network. IEEE ACCESS , vol.9 , 50078-50092.

Tufan, E., TEZCAN, C., & ACARTÜRK, C., (2021). Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network. IEEE ACCESS , vol.9, 50078-50092.

Tufan, Emrah, CİHANGİR TEZCAN, And CENGİZ ACARTÜRK. "Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network," IEEE ACCESS , vol.9, 50078-50092, 2021

Tufan, Emrah Et Al. "Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network." IEEE ACCESS , vol.9, pp.50078-50092, 2021

Tufan, E. TEZCAN, C. And ACARTÜRK, C. (2021) . "Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network." IEEE ACCESS , vol.9, pp.50078-50092.

@article{article, author={Emrah Tufan Et Al. }, title={Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network}, journal={IEEE ACCESS}, year=2021, pages={50078-50092} }