Zobrazeno 1 - 10
of 356
pro vyhledávání: '"Phoha, Vir V"'
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 areas, including authentication, health monitoring, and activity detec
Externí odkaz:
http://arxiv.org/abs/2205.07108
Individuals can be misled by fake news and spread it unintentionally without knowing it is false. This phenomenon has been frequently observed but has not been investigated. Our aim in this work is to assess the intent of fake news spreaders. To dist
Externí odkaz:
http://arxiv.org/abs/2202.04752
Publikováno v:
ACM Journal of Digital Threats: Research and Practice, June 2021
In this work, we examine the impact of Treadmill Assisted Gait Spoofing (TAGS) on Wearable Sensor-based Gait Authentication (WSGait). We consider more realistic implementation and deployment scenarios than the previous study, which focused only on th
Externí odkaz:
http://arxiv.org/abs/2012.09950
Autor:
Belman, Amith K., Wang, Li, Iyengar, S. S., Sniatala, Pawel, Wright, Robert, Dora, Robert, Baldwin, Jacob, Jin, Zhanpeng, Phoha, Vir V.
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 activities, such as typing, gait and swipe performed by the same person. Furt
Externí odkaz:
http://arxiv.org/abs/1912.02736
Massive dissemination of fake news and its potential to erode democracy has increased the demand for accurate fake news detection. Recent advancements in this area have proposed novel techniques that aim to detect fake news by exploring how it propag
Externí odkaz:
http://arxiv.org/abs/1904.11679
While developing continuous authentication systems (CAS), we generally assume that samples from both genuine and impostor classes are readily available. However, the assumption may not be true in certain circumstances. Therefore, we explore the possi
Externí odkaz:
http://arxiv.org/abs/1710.11075
In this paper, we propose a novel continuous authentication system for smartphone users. The proposed system entirely relies on unlabeled phone movement patterns collected through smartphone accelerometer. The data was collected in a completely uncon
Externí odkaz:
http://arxiv.org/abs/1708.04399
In this paper, we propose four continuous authentication designs by using the characteristics of arm movements while individuals walk. The first design uses acceleration of arms captured by a smartwatch's accelerometer sensor, the second design uses
Externí odkaz:
http://arxiv.org/abs/1603.02211
Publikováno v:
Methodology and Computing in Applied Probability, Vol. 17 (3), 739-759, 2015
We propose a generalization of the classical M/M/1 queue process. The resulting model is derived by applying fractional derivative operators to a system of difference-differential equations. This generalization includes both non-Markovian and Markovi
Externí odkaz:
http://arxiv.org/abs/1303.6695