activity
20192026
most citedInsights from BB-MAS -- A Large Dataset for Typing, Gait and Swipes of the Same Person on Desktop, Tablet and Phone

8 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

VIGIL: Verifying Identity via Gated Intermittent Likelihoods for Continuous Biometric Authentication

Aldridge Fonseca, Udayan Atreya, Amith Kamath Belman +1

Continuous multi-modal authentication has emerged as a necessity for securing modern environments against persistent threats. Existing temporal fusion techniques fail to identify a…

cs.CR2026

Enhanced Multi-Class DDoS Attack Identification using a Meta-Learning Ensemble

Ankith Indra Kumar, Genya Ishigaki, Amith Kamath Belman

Distributed Denial of Service (DDoS) attacks continue to pose significant threats to network availability and security. While many detection systems focus on binary classification…

cs.CR2025

SyntheticPop: Attacking Speaker Verification Systems With Synthetic VoicePops

Eshaq Jamdar, Amith Kamath Belman

Voice Authentication (VA), also known as Automatic Speaker Verification (ASV), is a widely adopted authentication method, particularly in automated systems like banking services, w…

cs.HC2022

Formalizing PQRST Complex in Accelerometer-based Gait Cycle for Authentication

Frank Sicong Chen, Amith K. Belman, Vir V. Phoha

Accelerometer signals generated through gait present a new frontier of human interface with mobile devices. Gait cycle detection based on these signals has applications in various…

cs.HC2019★ 8 cited

Insights from BB-MAS -- A Large Dataset for Typing, Gait and Swipes of the Same Person on Desktop, Tablet and Phone

Amith K. Belman, Li Wang, S. S. Iyengar +6

Behavioral biometrics are key components in the landscape of research in continuous and active user authentication. However, there is a lack of large datasets with multiple activit…