activity
20222024
most citedMachine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication

54 citations · 101 across the 17 of their papers we have counts for

collaborators
Showing 2023Show all

9 papers · 1 filter

cs.CR2023

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…

cs.SE2023★ 1 cited

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…

cs.AI2023★ 3 cited

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…

cs.SE2023★ 2 cited

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…

cs.CR2023★ 7 cited

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…

cs.CV2023★ 4 cited

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…

cs.LG2023★ 5 cited

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…

cs.SE2023★ 3 cited

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…

cs.CV2023★ 6 cited

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…