54 citations · 101 across the 17 of their papers we have counts for
17 papers
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning
Andrew Root, Liam Jakubowski, Mounika Vanamala
It is well known that the usefulness of a machine learning model is due to its ability to generalize to unseen data. This study uses three popular cyberbullying datasets to explore…
Secure Arcade: A Gamified Defense Against Cyber Attacks
Sean Loesch, Ryan Hrastich, Jordan Herbert +3
In modernity, we continually receive increasingly intricate technologies that allow us to increase our lives convenience and efficiency. Our technology, particularly technology ava…
Software Repositories and Machine Learning Research in Cyber Security
Mounika Vanamala, Keith Bryant, Alex Caravella
In today's rapidly evolving technological landscape and advanced software development, the rise in cyber security attacks has become a pressing concern. The integration of robust c…
Recent Advancements In The Field Of Deepfake Detection
Natalie Krueger, Mounika Vanamala, Rushit Dave
A deepfake is a photo or video of a person whose image has been digitally altered or partially replaced with an image of someone else. Deepfakes have the potential to cause a varie…
Using Machine Learning To Identify Software Weaknesses From Software Requirement Specifications
Mounika Vanamala, Sean Loesch, Alexander Caravella
Secure software engineering is crucial but can be time-consuming; therefore, methods that could expedite the identification of software weaknesses without reducing the process effi…
Your Identity is Your Behavior -- Continuous User Authentication based on Machine Learning and Touch Dynamics
Brendan Pelto, Mounika Vanamala, Rushit Dave
The aim of this research paper is to look into the use of continuous authentication with mobile touch dynamics, using three different algorithms: Neural Network, Extreme Gradient B…
Hybrid Deepfake Detection Utilizing MLP and LSTM
Jacob Mallet, Natalie Krueger, Mounika Vanamala +1
The growing reliance of society on social media for authentic information has done nothing but increase over the past years. This has only raised the potential consequences of the…
Leveraging Deep Learning Approaches for Deepfake Detection: A Review
Aniruddha Tiwari, Rushit Dave, Mounika Vanamala
Conspicuous progression in the field of machine learning and deep learning have led the jump of highly realistic fake media, these media oftentimes referred as deepfakes. Deepfakes…
Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications
Nicholas Lasky, Benjamin Hallis, Mounika Vanamala +2
Engineering more secure software has become a critical challenge in the cyber world. It is very important to develop methodologies, techniques, and tools for developing secure soft…
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM
Jacob mallet, Laura Pryor, Rushit Dave +1
Social media is currently being used by many individuals online as a major source of information. However, not all information shared online is true, even photos and videos can be…
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…
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…