Richard Zuech

13 papers C 4Misc 4Journal 4Unranked 1
YearRankTypeTitle / Venue / Authors
2022 J jnl
A new feature popularity framework for detecting cyberattacks using popular features.
J. Big Data
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2021 Misc conf
Detecting SQL Injection Web Attacks Using Ensemble Learners and Data Sampling.
CSR
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2021 Misc conf
Detecting Web Attacks in Severely Imbalanced Network Traffic Data.
IRI
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2021 J jnl
Detecting cybersecurity attacks across different network features and learners.
J. Big Data
Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar
2021 J jnl
Detecting web attacks using random undersampling and ensemble learners.
J. Big Data
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2021 C conf
Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers.
ICMLA
Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar
2020 — conf
Detecting Cybersecurity Attacks Using Different Network Features with LightGBM and XGBoost Learners.
CogMI
Joffrey L. Leevy, John T. Hancock, Richard Zuech, Taghi M. Khoshgoftaar
2015 Misc conf
A New Intrusion Detection Benchmarking System.
FLAIRS
Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp
2015 J jnl
Intrusion detection and Big Heterogeneous Data: a Survey.
J. Big Data
Richard Zuech, Taghi M. Khoshgoftaar, Randall Wald
2014 C conf
A Session Based Approach for Aggregating Network Traffic Data - The SANTA Dataset.
BIBE
Charles Wheelus, Taghi M. Khoshgoftaar, Richard Zuech, Maryam M. Najafabadi
2014 C conf
Machine Learning for Detecting Brute Force Attacks at the Network Level.
BIBE
Maryam M. Najafabadi, Taghi M. Khoshgoftaar, Clifford Kemp, Naeem Seliya, Richard Zuech
2014 C conf
Network Traffic Prediction Models for Near- and Long-Term Predictions.
BIBE
Randall Wald, Taghi M. Khoshgoftaar, Richard Zuech, Amri Napolitano
2014 Misc conf
Using feature selection and classification to build effective and efficient firewalls.
IRI
Randall Wald, Flavio Villanustre, Taghi M. Khoshgoftaar, Richard Zuech, Jarvis Robinson, Edin Muharemagic