User profiles for Sikha Bagui
 | Sikha BaguiUniversity of West Florida Verified email at uwf.edu Cited by 2324 |
Resampling imbalanced data for network intrusion detection datasets
S Bagui, K Li - Journal of Big Data, 2021 - Springer
Abstract Machine learning plays an increasingly significant role in the building of Network
Intrusion Detection Systems. However, machine learning models trained with imbalanced …
Intrusion Detection Systems. However, machine learning models trained with imbalanced …
[BOOK][B] Database design using entity-relationship diagrams
S Bagui, R Earp - 2003 - taylorfrancis.com
Entity-relationship (ER) diagrams are time-tested models for database development well-known
for their usefulness in mapping out clear database designs. Also commonly known is …
for their usefulness in mapping out clear database designs. Also commonly known is …
[PDF][PDF] Machine learning based intrusion detection for IoT botnet
In this article, we analyzed botnet traffic in an IoT environment using three machine learning
classifiers: Logistic Regression, Support-Vector Machine and Random Forest. We classified …
classifiers: Logistic Regression, Support-Vector Machine and Random Forest. We classified …
Breast cancer detection using rank nearest neighbor classification rules
In this article, we propose a new generalization of the rank nearest neighbor (RNN) rule for
multivariate data for diagnosis of breast cancer. We study the performance of this rule using …
multivariate data for diagnosis of breast cancer. We study the performance of this rule using …
[HTML][HTML] Determining resampling ratios using bsmote and svm-smote for identifying rare attacks in imbalanced cybersecurity data
Machine Learning is widely used in cybersecurity for detecting network intrusions. Though
network attacks are increasing steadily, the percentage of such attacks to actual network …
network attacks are increasing steadily, the percentage of such attacks to actual network …
Comparison of machine-learning algorithms for classification of VPN network traffic flow using time-related features
Network traffic classification and characterisation is playing an increasingly vital role in
understanding and solving security-related issues in internet-based applications. The priority of …
understanding and solving security-related issues in internet-based applications. The priority of …
Resampling imbalanced network intrusion datasets to identify rare attacks
… by SB (Sikha Bagui), DM, SB (Subhash Bagui), SS and DW; … (Sikha Bagui), DM, SB (Subhash
Bagui), SS and DW; validation was performed by SB (Sikha Bagui), SB (Subhash Bagui), …
Bagui), SS and DW; validation was performed by SB (Sikha Bagui), SB (Subhash Bagui), …
[PDF][PDF] Introduction to NFTs: the future of digital collectibles
M Ali, S Bagui - International Journal of Advanced Computer Science …, 2021 - academia.edu
This paper commences by introducing the essentials of blockchain technology and then goes
into how Ethereum blockchain revolutionized blockchain. Smart contracts are presented in …
into how Ethereum blockchain revolutionized blockchain. Smart contracts are presented in …
[HTML][HTML] Introducing the UWF-ZeekDataFall22 dataset to classify attack tactics from zeek conn logs using spark's machine learning in a big data framework
This study introduces UWF-ZeekDataFall22, a newly created dataset labeled using the
MITRE ATT&CK framework. Although the focus of this research is on classifying the never-before …
MITRE ATT&CK framework. Although the focus of this research is on classifying the never-before …
Introducing uwf-zeekdata22: A comprehensive network traffic dataset based on the mitre att&ck framework
With the rapid rate at which networking technologies are changing, there is a need to
regularly update network activity datasets to accurately reflect the current state of network …
regularly update network activity datasets to accurately reflect the current state of network …