Machine Learning for Detecting Brute Force Attacks at the Network Level. - Maryam M. Najafabadi; Taghi M. Khoshgoftaar; Clifford Kemp; Naeem Seliya; Richard Zuech (BIBE, 2014)

A Session Based Approach for Aggregating Network Traffic Data - The SANTA Dataset. - Charles Wheelus; Taghi M. Khoshgoftaar; Richard Zuech; Maryam M. Najafabadi (BIBE, 2014)

A New Intrusion Detection Benchmarking System. - Richard Zuech; Taghi M. Khoshgoftaar; Naeem Seliya; Maryam M. Najafabadi; Clifford Kemp (FLAIRS, 2015)

Detection of SSH Brute Force Attacks Using Aggregated Netflow Data. - Maryam M. Najafabadi; Taghi M. Khoshgoftaar; Chad Calvert; Clifford Kemp (ICMLA, 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)

Deep Learning Techniques in Big Data Analytics. - Maryam M. Najafabadi; Flavio Villanustre; Taghi M. Khoshgoftaar; Naeem Seliya; Randall Wald; Edin Muharemagic (Big Data Technologies and Applications, 2016)

RUDY Attack: Detection at the Network Level and Its Important Features. - Maryam M. Najafabadi; Taghi M. Khoshgoftaar; Amri Napolitano; Charles Wheelus (FLAIRS, 2016)

A Text Mining Approach for Anomaly Detection in Application Layer DDoS Attacks. - Maryam M. Najafabadi; Taghi M. Khoshgoftaar; Chad Calvert; Clifford Kemp (FLAIRS, 2017)

User Behavior Anomaly Detection for Application Layer DDoS Attacks. - Maryam M. Najafabadi; Taghi M. Khoshgoftaar; Chad Calvert; Clifford Kemp (IRI, 2017)

Large-scale distributed L-BFGS. - Maryam M. Najafabadi; Taghi M. Khoshgoftaar; Flavio Villanustre; John Holt (J. Big Data, 2017)

Detecting Slow HTTP POST DoS Attacks Using Netflow Features. - Chad Calvert; Clifford Kemp; Taghi M. Khoshgoftaar; Maryam M. Najafabadi (FLAIRS, 2019)