Subhash C. Bagui

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 18

Top Topics

Machine Learning

Top Venues

ACM Southeast Regional Conference

Future Internet

Publications

Fariha Moomtaheen, Sikha Bagui, Subhash C. Bagui, Dustin Mink
Extended Isolation Forest for Intrusion Detection in Zeek Data. Inf. 15 (7) (2024)
Sadaf Charkhabi, Peyman Samimi, Sikha Bagui, Dustin Mink, Subhash C. Bagui
Node Classification of Network Threats Leveraging Graph-Based Characterizations Using Memgraph. Comput. 13 (7) (2024)
Subhamoy Pal, Rong Luo, Subhash C. Bagui, Sudhir Paul
Alternative tests for the significance of the intraclass correlation coefficients under unequal family sizes. Commun. Stat. Simul. Comput. 53 (1) (2024)
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Russell Plenkers, Tom McElroy, Stephan Dulaney, Sajida Shabanali
Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework. Data 8 (1) (2023)
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam
Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data. Comput. 12 (10) (2023)
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam, Daniel Wallace
Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks. Future Internet 15 (4) (2023)
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Michael Plain, Jadarius Hill, Marshall Elam
Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22. Future Internet 15 (7) (2023)
Tirthankar Ghosh, Sikha Bagui, Subhash C. Bagui, Martin Kadzis, Jackson Bare
Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis. J. Cybersecur. Priv. 3 (4) (2023)
Sikha Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Tom McElroy, Esteban Paredes, Nithisha Khasnavis, Russell Plenkers
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 22 (20) (2022)
Sikha Bagui, Keenal M. Shah, Yizhi Hu, Subhash C. Bagui
Binary Classification of Network-Generated Flow Data Using a Machine Learning Algorithm. Int. J. Inf. Secur. Priv. 15 (1) (2021)
Sikha Bagui, Jason Simonds, Russell Plenkers, Timothy A. Bennett, Subhash C. Bagui
Classifying UNSW-NB15 Network Traffic in the Big Data Framework Using Random Forest in Spark. Int. J. Big Data Intell. Appl. 2 (1) (2021)
Sikha Bagui, Arup Kumar Mondal, Subhash C. Bagui
Improving the Performance of kNN in the MapReduce Framework Using Locality Sensitive Hashing. Int. J. Distributed Syst. Technol. 10 (4) (2019)
Sikha Bagui, Ezhil Kalaimannan, Subhash C. Bagui, Debarghya Nandi, Anthony Pinto
Using machine learning techniques to identify rare cyber-attacks on the UNSW-NB15 dataset. Secur. Priv. 2 (6) (2019)
Sikha Bagui, Debarghya Nandi, Subhash C. Bagui, Robert Jamie White
Classifying Phishing Email Using Machine Learning and Deep Learning. Cyber Security (2019)
Sikha Bagui, Sharon K. John, John P. Baggs, Subhash C. Bagui
A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features. PAKDD (Workshops) (2018)
Sikha Bagui, Debarghya Nandi, Subhash C. Bagui
A hybrid genetic algorithm for network intrusion detection. ACM Southeast Regional Conference (2018)
Sikha Bagui, Arup Kumar Mondal, Subhash C. Bagui
Using locality sensitive hashing to improve the KNN algorithm in the mapreduce framework. ACM Southeast Regional Conference (2018)
Xingang Fang, Sikha Bagui, Subhash C. Bagui
Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models. Comput. Biol. Chem. 69 (2017)
Sikha Bagui, Mohammad Islam, Subhash C. Bagui
An Architecture for Query Optimization Using Association Rule Mining. Int. J. Knowl. Based Organ. 1 (4) (2011)
Sikha Bagui, Jiri Just, Subhash C. Bagui, Rohan Hemasinha
Using a cosine-type measure to derive strong association mining rules. Int. J. Knowl. Eng. Data Min. 1 (1) (2010)
Sikha Bagui, Jiri Just, Subhash C. Bagui
Deriving strong association mining rules using a dependency criterion, the lift measure. Int. J. Data Anal. Tech. Strateg. 1 (3) (2009)
Subhash C. Bagui
Combining Pattern Classifiers: Methods and Algorithms. Technometrics 47 (4) (2005)
Subhash C. Bagui, Sikha Bagui, Kuhu Pal, Nikhil R. Pal
Breast cancer detection using rank nearest neighbor classification rules. Pattern Recognit. 36 (1) (2003)
Subhash C. Bagui, Nikhil R. Pal
A multistage generalization of the rank nearest neighbor classification rule. Pattern Recognit. Lett. 16 (6) (1995)
Subhash C. Bagui
Classification using first-stage rank nearest neighbor rule for multiple classes. Pattern Recognit. Lett. 14 (7) (1993)
Subhash C. Bagui
Classification of multiple observations using a rank nearest neighbor rule. Pattern Recognit. Lett. 14 (8) (1993)