Subhash C. Bagui

According to our database, Subhash C. Bagui authored at least 27 papers between 1993 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Extended Isolation Forest for Intrusion Detection in Zeek Data.

Fariha Moomtaheen, Sikha Bagui, Subhash C. Bagui, Dustin Mink

Inf., July, 2024

Node Classification of Network Threats Leveraging Graph-Based Characterizations Using Memgraph.

Sadaf Charkhabi, Peyman Samimi, Sikha Bagui, Dustin Mink, Subhash C. Bagui

Comput., July, 2024

Alternative tests for the significance of the intraclass correlation coefficients under unequal family sizes.

Subhamoy Pal, Rong Luo, Subhash C. Bagui, Sudhir Paul

Commun. Stat. Simul. Comput., January, 2024

2023

Anomaly Detection for Modbus over TCP in Control Systems Using Entropy and Classification-Based Analysis.

Tirthankar Ghosh, Sikha Bagui, Subhash C. Bagui, Martin Kadzis, Jackson Bare

J. Cybersecur. Priv., December, 2023

Determining Resampling Ratios Using BSMOTE and SVM-SMOTE for Identifying Rare Attacks in Imbalanced Cybersecurity Data.

Sikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam

Comput., September, 2023

Using a Graph Engine to Visualize the Reconnaissance Tactic of the MITRE ATT&CK Framework from UWF-ZeekData22.

Sikha Bagui, Dustin Mink, Subhash C. Bagui, Michael Plain, Jadarius Hill, Marshall Elam

Future Internet, July, 2023

Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks.

Sikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam, Daniel Wallace

Future Internet, April, 2023

Introducing UWF-ZeekData22: A Comprehensive Network Traffic Dataset Based on the MITRE ATT&CK Framework.

Sikha Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Russell Plenkers, Tom McElroy, Stephan Dulaney, Sajida Shabanali

Data, January, 2023

2022

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.

Sikha Bagui, Dustin Mink, Subhash C. Bagui, Tirthankar Ghosh, Tom McElroy, Esteban Paredes, Nithisha Khasnavis, Russell Plenkers

Sensors, 2022

2021

Binary Classification of Network-Generated Flow Data Using a Machine Learning Algorithm.

Sikha Bagui, Keenal M. Shah, Yizhi Hu, Subhash C. Bagui

Int. J. Inf. Secur. Priv., 2021

Classifying UNSW-NB15 Network Traffic in the Big Data Framework Using Random Forest in Spark.

Sikha Bagui, Jason Simonds, Russell Plenkers, Timothy A. Bennett, Subhash C. Bagui

Int. J. Big Data Intell. Appl., 2021

2019

Using machine learning techniques to identify rare cyber-attacks on the UNSW-NB15 dataset.

Sikha Bagui, Ezhil Kalaimannan, Subhash C. Bagui, Debarghya Nandi, Anthony Pinto

Secur. Priv., 2019

Improving the Performance of kNN in the MapReduce Framework Using Locality Sensitive Hashing.

Sikha Bagui, Arup Kumar Mondal, Subhash C. Bagui

Int. J. Distributed Syst. Technol., 2019

Classifying Phishing Email Using Machine Learning and Deep Learning.

Sikha Bagui, Debarghya Nandi, Subhash C. Bagui, Robert Jamie White

Proceedings of the 2019 International Conference on Cyber Security and Protection of Digital Services, 2019

2018

A Parallel Implementation of Information Gain Using Hive in Conjunction with MapReduce for Continuous Features.

Sikha Bagui, Sharon K. John, John P. Baggs, Subhash C. Bagui

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2018

A hybrid genetic algorithm for network intrusion detection.

Sikha Bagui, Debarghya Nandi, Subhash C. Bagui

Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018

Using locality sensitive hashing to improve the KNN algorithm in the mapreduce framework.

Sikha Bagui, Arup Kumar Mondal, Subhash C. Bagui

Proceedings of the ACMSE 2018 Conference, Richmond, KY, USA, March 29-31, 2018, 2018

2017

Optimal Structure (k) Designs for Comparing Test Treatments with a Control.

M. A. Chowdhury, Saumen Mandal, D. K. Ghosh, Subhash C. Bagui

J. Stat. Theory Appl., 2017

Improving virtual screening predictive accuracy of Human kallikrein 5 inhibitors using machine learning models.

Xingang Fang, Sikha Bagui, Subhash C. Bagui

Comput. Biol. Chem., 2017

2011

An Architecture for Query Optimization Using Association Rule Mining.

Sikha Bagui, Mohammad Islam, Subhash C. Bagui

Int. J. Knowl. Based Organ., 2011

2010

Using a cosine-type measure to derive strong association mining rules.

Sikha Bagui, Jiri Just, Subhash C. Bagui, Rohan Hemasinha

Int. J. Knowl. Eng. Data Min., 2010

2009

Deriving strong association mining rules using a dependency criterion, the lift measure.

Sikha Bagui, Jiri Just, Subhash C. Bagui

Int. J. Data Anal. Tech. Strateg., 2009

2005

Combining Pattern Classifiers: Methods and Algorithms.

Subhash C. Bagui

Technometrics, 2005

2003

Breast cancer detection using rank nearest neighbor classification rules.

Subhash C. Bagui, Sikha Bagui, Kuhu Pal, Nikhil R. Pal

Pattern Recognit., 2003

1995

A multistage generalization of the rank nearest neighbor classification rule.

Subhash C. Bagui, Nikhil R. Pal

Pattern Recognit. Lett., 1995

1993

Classification of multiple observations using a rank nearest neighbor rule.

Subhash C. Bagui

Pattern Recognit. Lett., 1993

Classification using first-stage rank nearest neighbor rule for multiple classes.

Subhash C. Bagui

Pattern Recognit. Lett., 1993