no code implementations • 23 Nov 2023 • Melodee Montgomery, Prosenjit Chatterjee, John Jenkins, Kaushik Roy
When we combine the new features with the existing ones, SVM and kNN achieved the classification accuracy of 94. 7% and 94. 6%, respectively.
no code implementations • 23 Nov 2023 • Justin Spencer, Deborah Lawrence, Prosenjit Chatterjee, Kaushik Roy, Albert Esterline, Jung-Hee Kim
The second uses a shallow CNN based on a modified Spoofnet architecture, which is trained normally.
no code implementations • 23 Nov 2023 • Prosenjit Chatterjee, Alex Yalchin, Joseph Shelton, Kaushik Roy, Xiaohong Yuan, Kossi D. Edoh
The bio-metric images, especially the iris and face, are vulnerable to different presentation attacks.
no code implementations • 23 Nov 2023 • Sultan Almalki, Prosenjit Chatterjee, Kaushik Roy
In authentication mode, all three classifiers achieved the highest accuracy (ACC) and Area Under Curve (AUC) from scenario B using the point and click action data: (Decision Tree ACC:87. 6%, AUC:90. 3%), (K-Nearest Neighbors ACC:99. 3%, AUC:99. 9%), and (Random Forest ACC:89. 9%, AUC:92. 5%).
no code implementations • 21 Nov 2023 • Ujwal Sasikumar, ANK Zaman, Abdul-Rahman Mawlood-Yunis, Prosenjit Chatterjee
Sentiment analysis of social media data is an emerging field with vast applications in various domains.
no code implementations • 4 Nov 2023 • Prosenjit Chatterjee, ANK Zaman
Thermal images have various applications in security, medical and industrial domains.
no code implementations • 29 Jun 2022 • Jared Mathews, Prosenjit Chatterjee, Shankar Banik
We develop a new data set by collecting network traffic from real CoAP denial of service attacks and compare the data on multiple different machine learning classifiers.