Richard Zuech

According to our database, Richard Zuech authored at least 13 papers between 2014 and 2022.

Collaborative distances:

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

2022

A new feature popularity framework for detecting cyberattacks using popular features.

Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar

J. Big Data, 2022

2021

Detecting web attacks using random undersampling and ensemble learners.

Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar

J. Big Data, 2021

Detecting cybersecurity attacks across different network features and learners.

Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar

J. Big Data, 2021

Detecting Web Attacks in Severely Imbalanced Network Traffic Data.

Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar

Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers.

Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Detecting SQL Injection Web Attacks Using Ensemble Learners and Data Sampling.

Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2021

2020

Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners.

Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar

Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2015

Intrusion detection and Big Heterogeneous Data: a Survey.

Richard Zuech, Taghi M. Khoshgoftaar, Randall Wald

J. Big Data, 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

Using feature selection and classification to build effective and efficient firewalls.

Randall Wald, Flavio Villanustre, Taghi M. Khoshgoftaar, Richard Zuech, Jarvis Robinson, Edin Muharemagic

Proceedings of the 15th IEEE International Conference on Information Reuse and Integration, 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

Network Traffic Prediction Models for Near- and Long-Term Predictions.

Randall Wald, Taghi M. Khoshgoftaar, Richard Zuech, Amri Napolitano

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