54 citations · 165 across the 25 of their papers we have counts for
11 papers · 1 filter
Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset
Zachary Deridder, Nyle Siddiqui, Thomas Reither +4
As technology grows and evolves rapidly, it is increasingly clear that mobile devices are more commonly used for sensitive matters than ever before. A need to authenticate users co…
Using Deep Learning to Detecting Deepfakes
Jacob Mallet, Rushit Dave, Naeem Seliya +1
In the recent years, social media has grown to become a major source of information for many online users. This has given rise to the spread of misinformation through deepfakes. De…
Mitigating Presentation Attack using DCGAN and Deep CNN
Nyle Siddiqui, Rushit Dave
Biometric based authentication is currently playing an essential role over conventional authentication system; however, the risk of presentation attacks subsequently rising. Our re…
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
Nyle Siddiqui, Rushit Dave, Naeem Seliya +1
Static authentication methods, like passwords, grow increasingly weak with advancements in technology and attack strategies. Continuous authentication has been proposed as a soluti…
Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning
Laura Pryor, Jacob Mallet, Rushit Dave +3
The amount of secure data being stored on mobile devices has grown immensely in recent years. However, the security measures protecting this data have stayed static, with few impro…
A Close Look into Human Activity Recognition Models using Deep Learning
Wei Zhong Tee, Rushit Dave, Naeem Seliya +1
Human activity recognition using deep learning techniques has become increasing popular because of its high effectivity with recognizing complex tasks, as well as being relatively…
Exploration of Machine Learning Classification Models Used for Behavioral Biometrics Authentication
Sara Kokal, Laura Pryor, Rushit Dave
Mobile devices have been manufactured and enhanced at growing rates in the past decades. While this growth has significantly evolved the capability of these devices, their security…
A Robust Framework for Deep Learning Approaches to Facial Emotion Recognition and Evaluation
Nyle Siddiqui, Rushit Dave, Tyler Bauer +3
Facial emotion recognition is a vast and complex problem space within the domain of computer vision and thus requires a universally accepted baseline method with which to evaluate…
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning
Rushit Dave, Naeem Seliya, Mounika Vanamala +1
Human activity recognition has grown in popularity with its increase of applications within daily lifestyles and medical environments. The goal of having efficient and reliable hum…
Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning
Rushit Dave, Naeem Seliya, Laura Pryor +3
In recent years the amount of secure information being stored on mobile devices has grown exponentially. However, current security schemas for mobile devices such as physiological…
Application of Machine Learning-Based Pattern Recognition in IoT Devices: Review
Zachary Menter, Wei Tee, Rushit Dave
The Internet of things (IoT) is a rapidly advancing area of technology that has quickly become more widespread in recent years. With greater numbers of everyday objects being conne…