Subhash C. Bagui

31 papers Journal 27Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Detecting Cyber Threats in UWF-ZeekDataFall22 Using K-Means Clustering in the Big Data Environment.
Future Internet
Sikha Bagui, Germano Correa Silva De Carvalho, Asmi Mishra, Dustin Mink, Subhash C. Bagui, Stephanie Eager
2025 J jnl
Introducing UWF-ZeekData24: An Enterprise MITRE ATT&CK Labeled Network Attack Traffic Dataset for Machine Learning/AI.
Data
Marshall Elam, Dustin Mink, Sikha Bagui, Russell Plenkers, Subhash C. Bagui
2025 J jnl
Model Retraining upon Concept Drift Detection in Network Traffic Big Data.
Future Internet
Sikha Bagui, Mohammad Pale Khan, Chedlyne Valmyr, Subhash C. Bagui, Dustin Mink
2025 J jnl
Selecting Feature Subsets in Continuous Flow Network Attack Traffic Big Data Using Incremental Frequent Pattern Mining.
Algorithms
Sikha Bagui, Andrew Benyacko, Dustin Mink, Subhash C. Bagui, Arijit Bagchi
2024 J jnl
Alternative tests for the significance of the intraclass correlation coefficients under unequal family sizes.
Commun. Stat. Simul. Comput.
Subhamoy Pal, Rong Luo, Subhash C. Bagui, Sudhir Paul
2024 J jnl
Extended Isolation Forest for Intrusion Detection in Zeek Data.
Inf.
Fariha Moomtaheen, Sikha Bagui, Subhash C. Bagui, Dustin Mink
2024 J jnl
Node Classification of Network Threats Leveraging Graph-Based Characterizations Using Memgraph.
Comput.
Sadaf Charkhabi, Peyman Samimi, Sikha Bagui, Dustin Mink, Subhash C. Bagui
2023 J jnl
Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis.
J. Cybersecur. Priv.
Tirthankar Ghosh, Sikha Bagui, Subhash C. Bagui, Martin Kadzis, Jackson Bare
2023 J jnl
Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data.
Comput.
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam
2023 J jnl
Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework.
Data
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Russell Plenkers, Tom McElroy, Stephan Dulaney, Sajida Shabanali
2023 J jnl
Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks.
Future Internet
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam, Daniel Wallace
2023 J jnl
Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22.
Future Internet
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Michael Plain, Jadarius Hill, Marshall Elam
2022 J jnl
Detecting Reconnaissance and Discovery Tactics from the MITRE ATT&CK Framework in Zeek Conn Logs Using Spark's Machine Learning in the Big Data Framework.
Sensors
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Tom McElroy, Esteban Paredes, Nithisha Khasnavis, Russell Plenkers
2021 J jnl
Binary Classification of Network-Generated Flow Data Using a Machine Learning Algorithm.
Int. J. Inf. Secur. Priv.
Sikha Bagui, Keenal M. Shah, Yizhi Hu, Subhash C. Bagui
2021 J jnl
Classifying UNSW-NB15 Network Traffic in the Big Data Framework Using Random Forest in Spark.
Int. J. Big Data Intell. Appl.
Sikha Bagui, Jason Simonds, Russell Plenkers, Timothy A. Bennett, Subhash C. Bagui
2019 — conf
Classifying Phishing Email Using Machine Learning and Deep Learning.
Cyber Security
Sikha Bagui, Debarghya Nandi, Subhash C. Bagui, Robert Jamie White
2019 J jnl
Improving the Performance of kNN in the MapReduce Framework Using Locality Sensitive Hashing.
Int. J. Distributed Syst. Technol.
Sikha Bagui, Arup Kumar Mondal, Subhash C. Bagui
2019 J jnl
Using machine learning techniques to identify rare cyber-attacks on the UNSW-NB15 dataset.
Secur. Priv.
Sikha Bagui, Ezhil Kalaimannan, Subhash C. Bagui, Debarghya Nandi, Anthony Pinto
2018 — conf
A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features.
PAKDD (Workshops)
Sikha Bagui, Sharon K. John, John P. Baggs, Subhash C. Bagui
2018 — conf
A hybrid genetic algorithm for network intrusion detection.
ACM Southeast Regional Conference
Sikha Bagui, Debarghya Nandi, Subhash C. Bagui
2018 — conf
Using locality sensitive hashing to improve the KNN algorithm in the mapreduce framework.
ACM Southeast Regional Conference
Sikha Bagui, Arup Kumar Mondal, Subhash C. Bagui
2017 J jnl
Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models.
Comput. Biol. Chem.
Xingang Fang, Sikha Bagui, Subhash C. Bagui
2017 J jnl
Optimal Structure (k) Designs for Comparing Test Treatments with a Control.
J. Stat. Theory Appl.
M. A. Chowdhury, Saumen Mandal, D. K. Ghosh, Subhash C. Bagui
2011 J jnl
An Architecture for Query Optimization Using Association Rule Mining.
Int. J. Knowl. Based Organ.
Sikha Bagui, Mohammad Islam, Subhash C. Bagui
2010 J jnl
Using a cosine-type measure to derive strong association mining rules.
Int. J. Knowl. Eng. Data Min.
Sikha Bagui, Jiri Just, Subhash C. Bagui, Rohan Hemasinha
2009 J jnl
Deriving strong association mining rules using a dependency criterion, the lift measure.
Int. J. Data Anal. Tech. Strateg.
Sikha Bagui, Jiri Just, Subhash C. Bagui
2005 J jnl
Combining Pattern Classifiers: Methods and Algorithms.
Technometrics
Subhash C. Bagui
2003 J jnl
Breast cancer detection using rank nearest neighbor classification rules.
Pattern Recognit.
Subhash C. Bagui, Sikha Bagui, Kuhu Pal, Nikhil R. Pal
1995 J jnl
A multistage generalization of the rank nearest neighbor classification rule.
Pattern Recognit. Lett.
Subhash C. Bagui, Nikhil R. Pal
1993 J jnl
Classification of multiple observations using a rank nearest neighbor rule.
Pattern Recognit. Lett.
Subhash C. Bagui
1993 J jnl
Classification using first-stage rank nearest neighbor rule for multiple classes.
Pattern Recognit. Lett.
Subhash C. Bagui