Richard Zuech

Publication Activity (10 Years)

Years Active: 2014-2022
Publications (10 Years): 9

Top Topics

Network Traffic

Intrusion Detection

Top Venues

Publications

Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
A new feature popularity framework for detecting cyberattacks using popular features. J. Big Data 9 (1) (2022)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
Detecting Web Attacks in Severely Imbalanced Network Traffic Data. IRI (2021)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers. ICMLA (2021)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
Detecting web attacks using random undersampling and ensemble learners. J. Big Data 8 (1) (2021)
Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar
Detecting cybersecurity attacks across different network features and learners. J. Big Data 8 (1) (2021)
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
Detecting SQL Injection Web Attacks Using Ensemble Learners and Data Sampling. CSR (2021)
Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar
Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners. CogMI (2020)
Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp
A New Intrusion Detection Benchmarking System. FLAIRS Conference (2015)
Richard Zuech, Taghi M. Khoshgoftaar, Randall Wald
Intrusion detection and Big Heterogeneous Data: a Survey. J. Big Data 2 (2015)
Randall Wald, Flavio Villanustre, Taghi M. Khoshgoftaar, Richard Zuech, Jarvis Robinson, Edin Muharemagic
Using feature selection and classification to build effective and efficient firewalls. IRI (2014)
Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Naeem Seliya, Richard Zuech
Machine Learning for Detecting Brute Force Attacks at the Network Level. BIBE (2014)
Randall Wald, Taghi M. Khoshgoftaar, Richard Zuech, Amri Napolitano
Network Traffic Prediction Models for Near- and Long-Term Predictions. BIBE (2014)
Charles Wheelus, Taghi M. Khoshgoftaar, Richard Zuech, Maryam M. Najafabadi
A Session Based Approach for Aggregating Network Traffic Data - The SANTA Dataset. BIBE (2014)