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ORCIDSubhash C. Bagui
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2020 – today
- 2024
[j23]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): 171 (2024)- [j22]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): 409-426 (2024) - [j21]Fariha Moomtaheen, Sikha Bagui, Subhash C. Bagui, Dustin Mink:
Extended Isolation Forest for Intrusion Detection in Zeek Data. Inf. 15(7): 404 (2024) - 2023
- [j20]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): 204 (2023) - [j19]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): 18 (2023) - [j18]Sikha Bagui, Dustin Mink, Subhash C. Bagui, Sakthivel Subramaniam, Daniel Wallace:
Resampling Imbalanced Network Intrusion Datasets to Identify Rare Attacks. Future Internet 15(4): 130 (2023) - [j17]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): 236 (2023) - [j16]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): 895-913 (2023) - 2022
- [j15]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): 7999 (2022) - 2021
- [j14]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): 39-61 (2021) - [j13]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): 26-43 (2021)
2010 – 2019
- 2019
- [j12]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): 1-16 (2019) - [j11]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) - [c4]Sikha Bagui, Debarghya Nandi, Subhash C. Bagui, Robert Jamie White:
Classifying Phishing Email Using Machine Learning and Deep Learning. Cyber Security 2019: 1-2 - 2018
- [c3]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: 32:1 - [c2]Sikha Bagui, Debarghya Nandi, Subhash C. Bagui:
A hybrid genetic algorithm for network intrusion detection. ACM Southeast Regional Conference 2018: 34:1 - [c1]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: 283-294 - 2017
- [j10]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: 110-119 (2017) - [j9]M. A. Chowdhury, Saumen Mandal, D. K. Ghosh, Subhash C. Bagui:
Optimal Structure (k) Designs for Comparing Test Treatments with a Control. J. Stat. Theory Appl. 16(1): 96-107 (2017) - 2011
- [j8]Sikha Bagui, Mohammad Islam, Subhash C. Bagui:
An Architecture for Query Optimization Using Association Rule Mining. Int. J. Knowl. Based Organ. 1(4): 32-55 (2011) - 2010
- [j7]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): 69-83 (2010)
2000 – 2009
- 2009
- [j6]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): 297-312 (2009) - 2005
- [j5]Subhash C. Bagui:
Combining Pattern Classifiers: Methods and Algorithms. Technometrics 47(4): 517-518 (2005) - 2003
- [j4]Subhash C. Bagui, Sikha Bagui, Kuhu Pal, Nikhil R. Pal:
Breast cancer detection using rank nearest neighbor classification rules. Pattern Recognit. 36(1): 25-34 (2003)
1990 – 1999
- 1995
- [j3]Subhash C. Bagui, Nikhil R. Pal:
A multistage generalization of the rank nearest neighbor classification rule. Pattern Recognit. Lett. 16(6): 601-614 (1995) - 1993
- [j2]Subhash C. Bagui:
Classification using first-stage rank nearest neighbor rule for multiple classes. Pattern Recognit. Lett. 14(7): 537-544 (1993) - [j1]Subhash C. Bagui:
Classification of multiple observations using a rank nearest neighbor rule. Pattern Recognit. Lett. 14(8): 611-617 (1993)
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