Maryam M. Najafabadi

Author

Florida Atlantic University ORCID

Also Known As

Maryam M Najafabadi, Maryam M. Najafabadi, Maryam Mousaarab Najafabadi

Publications

2.9K

Citations

H-Index

Concepts

All Affiliations

Florida Atlantic University

About

Maryam M. Najafabadi is an author at Florida Atlantic University specializing in computer science, data science, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	10	10	2.8K
2	Computer Science	10	10	2.8K
3	Management	2	2	41
4	Communication	1	1	13
5	Computer Engineering	1	1	47

Maryam M. Najafabadi

Publications

2.8K

Citations

H-Index

Page 1

	Year	Citations
Deep learning applications and challenges in big data analytics Maryam M. Najafabadi, Flavio Villanustre, Taghi M. Khoshgoftaar, Journal Of Big Data Artificial IntelligenceDeep Neural NetworksEngineeringMachine LearningData Science	2015	2.5K
Machine Learning for Detecting Brute Force Attacks at the Network Level Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Abuse DetectionEngineeringMachine LearningInformation SecurityInformation Forensics	2014	77
Large-scale distributed L-BFGS Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Flavio Villanustre, Journal Of Big Data Cluster ComputingEngineeringMachine LearningBig Data AnalyticsDistributed Data Processing	2017	47
Detection of SSH Brute Force Attacks Using Aggregated Netflow Data Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Abuse DetectionEngineeringMachine LearningInformation SecurityMachine Learning Approach	2015	36
User Behavior Anomaly Detection for Application Layer DDoS Attacks Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Chad Calvert, Web Server LogsPcasubspace Anomaly DetectionDdos DetectionSecurity DiagnosticsAnomaly Detection	2017	36
A New Intrusion Detection Benchmarking System Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, The Florida AI Research Society Internet Traffic AnalysisEngineeringInformation SecurityNetwork AnalysisInformation Forensics	2015	22
A Session Based Approach for Aggregating Network Traffic Data -- The SANTA Dataset Charles Wheelus, Taghi M. Khoshgoftaar, Richard Zuech, Internet Traffic AnalysisAnomaly DetectionEngineeringInformation SecurityNetwork Analysis	2014	21
Evaluating Feature Selection Methods for Network Intrusion Detection with Kyoto Data Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Naeem Seliya International Journal of Reliability Quality and Safety Engineering Anomaly DetectionMachine LearningEngineeringInformation SecurityFeature Selection	2016	20
RUDY Attack: Detection at the Network Level and Its Important Features Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Amri Napolitano, The Florida AI Research Society EngineeringSlow RateInformation SecurityNetwork AnalysisInformation Forensics	2016	18
A Procedure for Collecting and Labeling Man-in-the-Middle Attack Traffic Chad Calvert, Taghi M. Khoshgoftaar, Maryam M. Najafabadi, International Journal of Reliability Quality and Safety Engineering Internet Traffic AnalysisEngineeringInformation SecurityInformation ForensicsCommunication	2016	13

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