Intrusion detection and big heterogeneous data: a survey R Zuech, TM Khoshgoftaar, R Wald Journal of Big Data 2, 1-41, 2015 | 426 | 2015 |
Machine learning for detecting brute force attacks at the network level MM Najafabadi, TM Khoshgoftaar, C Kemp, N Seliya, R Zuech 2014 IEEE International Conference on Bioinformatics and Bioengineering, 379-385, 2014 | 105 | 2014 |
Detecting web attacks using random undersampling and ensemble learners R Zuech, J Hancock, TM Khoshgoftaar Journal of Big Data 8 (1), 75, 2021 | 63 | 2021 |
A new intrusion detection benchmarking system R Zuech, TM Khoshgoftaar, N Seliya, MM Najafabadi, C Kemp The Twenty-Eighth International Flairs Conference, 2015 | 60 | 2015 |
Detecting cybersecurity attacks across different network features and learners JL Leevy, J Hancock, R Zuech, TM Khoshgoftaar Journal of Big Data 8, 1-29, 2021 | 49 | 2021 |
A Session Based Approach for Aggregating Network Traffic Data--The SANTA Dataset C Wheelus, TM Khoshgoftaar, R Zuech, MM Najafabadi 2014 IEEE International Conference on Bioinformatics and Bioengineering, 369-378, 2014 | 39 | 2014 |
A survey on feature selection for intrusion detection R Zuech, TM Khoshgoftaar Proceedings of the 21st issat international conference on reliability and …, 2015 | 38 | 2015 |
Detecting cybersecurity attacks using different network features with lightgbm and xgboost learners JL Leevy, J Hancock, R Zuech, TM Khoshgoftaar 2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020 | 37 | 2020 |
Investigating rarity in web attacks with ensemble learners R Zuech, J Hancock, TM Khoshgoftaar Journal of Big Data 8 (1), 71, 2021 | 17 | 2021 |
Detecting SQL injection web attacks using ensemble learners and data sampling R Zuech, J Hancock, TM Khoshgoftaar 2021 IEEE International Conference on Cyber Security and Resilience (CSR), 27-34, 2021 | 11 | 2021 |
Using feature selection and classification to build effective and efficient firewalls R Wald, F Villanustre, TM Khoshgoftaar, R Zuech, J Robinson, ... Proceedings of the 2014 IEEE 15th International Conference on Information …, 2014 | 10 | 2014 |
Feature popularity between different web attacks with supervised feature selection rankers R Zuech, J Hancock, TM Khoshgoftaar 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 7 | 2021 |
Network traffic prediction models for near-and long-term predictions R Wald, TM Khoshgoftaar, R Zuech, A Napolitano 2014 IEEE International Conference on Bioinformatics and Bioengineering, 362-368, 2014 | 7 | 2014 |
Detecting web attacks in severely imbalanced network traffic data R Zuech, J Hancock, TM Khoshgoftaar 2021 IEEE 22nd International Conference on Information Reuse and Integration …, 2021 | 4 | 2021 |
Virtualized cyberspace-visualizing patterns & anomalies for cognitive cyber situational awareness T Bass, R Zuech, R Gutzwiller Attention and Human Factors in Cyberspace Defense–Cyberspace Situational …, 2017 | 3 | 2017 |
A new feature popularity framework for detecting cyberattacks using popular features R Zuech, J Hancock, TM Khoshgoftaar Journal of Big Data 9 (1), 119, 2022 | 1 | 2022 |
Predicting Cyberattacks with Destination Port Through Various Input Feature Scenario R Zuech, J Hancock, TM Khoshgoftaar International Journal of Reliability, Quality and Safety Engineering 29 (03 …, 2022 | 1 | 2022 |
A new feature popularity framework for detecting cyberattacks using popular R Zuech, J Hancock, TM Khoshgoftaar | | 2022 |
Machine Learning Algorithms for the Detection and Analysis of Web Attacks R Zuech Florida Atlantic University, 2021 | | 2021 |
ICMLA 2021 H Eigen, A Sadovnik, R Zuech, J Hancock, A Rai, C Ducher | | |