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Richard Zuech
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2020 – today
- 2022
- [j4]Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar:
A new feature popularity framework for detecting cyberattacks using popular features. J. Big Data 9(1): 119 (2022) - 2021
- [j3]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): 1-29 (2021) - [j2]Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar:
Detecting web attacks using random undersampling and ensemble learners. J. Big Data 8(1): 75 (2021) - [c9]Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar:
Detecting SQL Injection Web Attacks Using Ensemble Learners and Data Sampling. CSR 2021: 27-34 - [c8]Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar:
Feature Popularity Between Different Web Attacks with Supervised Feature Selection Rankers. ICMLA 2021: 30-37 - [c7]Richard Zuech, John T. Hancock, Taghi M. Khoshgoftaar:
Detecting Web Attacks in Severely Imbalanced Network Traffic Data. IRI 2021: 267-273 - 2020
- [c6]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: 190-197
2010 – 2019
- 2015
- [j1]Richard Zuech, Taghi M. Khoshgoftaar, Randall Wald:
Intrusion detection and Big Heterogeneous Data: a Survey. J. Big Data 2: 3 (2015) - [c5]Richard Zuech, Taghi M. Khoshgoftaar, Naeem Seliya, Maryam M. Najafabadi, Clifford Kemp:
A New Intrusion Detection Benchmarking System. FLAIRS 2015: 252-256 - 2014
- [c4]Randall Wald, Taghi M. Khoshgoftaar, Richard Zuech, Amri Napolitano:
Network Traffic Prediction Models for Near- and Long-Term Predictions. BIBE 2014: 362-368 - [c3]Charles Wheelus, Taghi M. Khoshgoftaar, Richard Zuech, Maryam M. Najafabadi:
A Session Based Approach for Aggregating Network Traffic Data - The SANTA Dataset. BIBE 2014: 369-378 - [c2]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: 379-385 - [c1]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: 850-854
Coauthor Index
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