Maryam M. Najafabadi

According to our database, Maryam M. Najafabadi authored at least 11 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2019

Detecting Slow HTTP POST DoS Attacks Using Netflow Features.

Chad Calvert, Clifford Kemp, Taghi M. Khoshgoftaar, Maryam M. Najafabadi

Proceedings of the Thirty-Second International Florida Artificial Intelligence Research Society Conference, 2019

2017

Large-scale distributed L-BFGS.

Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Flavio Villanustre, John Holt

J. Big Data, 2017

User Behavior Anomaly Detection for Application Layer DDoS Attacks.

Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Clifford Kemp

Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

A Text Mining Approach for Anomaly Detection in Application Layer DDoS Attacks.

Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Clifford Kemp

Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016

RUDY Attack: Detection at the Network Level and Its Important Features.

Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Amri Napolitano, Charles Wheelus

Proceedings of the Twenty-Ninth International Florida Artificial Intelligence Research Society Conference, 2016

Deep Learning Techniques in Big Data Analytics.

Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic

Proceedings of the Big Data Technologies and Applications, 2016

2015

Deep learning applications and challenges in big data analytics.

Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Naeem Seliya, Randall Wald, Edin Muharemagic

J. Big Data, 2015

Detection of SSH Brute Force Attacks Using Aggregated Netflow Data.

Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Clifford Kemp

Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

A New Intrusion Detection Benchmarking System.

Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp

Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015

2014

A Session Based Approach for Aggregating Network Traffic Data - The SANTA Dataset.

Charles Wheelus, Taghi M. Khoshgoftaar, Richard Zuech, Maryam M. Najafabadi

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014

Machine Learning for Detecting Brute Force Attacks at the Network Level.

Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Naeem Seliya, Richard Zuech

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Bioengineering, 2014