54 citations · 115 across the 13 of their papers we have counts for
13 papers
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…
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…
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…
The Benefits of Edge Computing in Healthcare, Smart Cities, and IoT
Rushit Dave, Naeem Seliya, Nyle Siddiqui
Recent advancements in technology now allow for the generation of massive quantities of data. There is a growing need to transmit this data faster and more securely such that it ca…
Named Entity Recognition in Unstructured Medical Text Documents
Cole Pearson, Naeem Seliya, Rushit Dave
Physicians provide expert opinion to legal courts on the medical state of patients, including determining if a patient is likely to have permanent or non-permanent injuries or ailm…
Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft
Nyle Siddiqui, Rushit Dave, Naeem Seliya
Mouse dynamics has grown in popularity as a novel irreproducible behavioral biometric. Datasets which contain general unrestricted mouse movements from users are sparse in the curr…
A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods
Sam Strecker, Rushit Dave, Nyle Siddiqui +1
Modern scientific advancements often contribute to the introduction and refinement of never-before-seen technologies. This can be quite the task for humans to maintain and monitor…
Machine Learning Algorithms In User Authentication Schemes
Laura Pryor, Rushit Dave, Naeem Seliya +1
In the past two decades, the number of mobile products being created by companies has grown exponentially. However, although these devices are constantly being upgraded with the ne…
Applications of Recurrent Neural Network for Biometric Authentication & Anomaly Detection
Joseph M. Ackerson, Dave Rushit, Seliya Jim
Recurrent Neural Networks are powerful machine learning frameworks that allow for data to be saved and referenced in a temporal sequence. This opens many new possibilities in field…
Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes
Owen Casey, Rushit Dave, Naeem Seliya +1
In this paper machine learning networks are explored for their use in restoring degraded and compressed speech audio. The project intent is to build a new trained model from voice…