Mounika Vanamala

According to our database, Mounika Vanamala authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Heart Murmur Prediction with Machine Learning.

Thomas Scott, Naeem Seliya, Mounika Vanamala

Proceedings of the IEEE International Conference on Electro Information Technology, 2024

Click Fraud Detection of Online Advertising Using Machine Learning Algorithms.

Benjamin Kirkwood, Mounika Vanamala, Naeem Seliya

Proceedings of the IEEE International Conference on Electro Information Technology, 2024

Analyzing Tweets for Disaster Prediction.

Ryan Boston, Naeem Seliya, Mounika Vanamala

Proceedings of the IEEE International Conference on Electro Information Technology, 2024

2023

Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication.

Sara Kokal, Mounika Vanamala, Rushit Dave

J. Cybersecur. Priv., June, 2023

Secure Arcade: A Gamified Defense Against Cyber Attacks.

Sean Loesch, Ryan Hrastich, Jordan Herbert, Ben Drangstveit, Jacob Weber, Mounika Vanamala

CoRR, 2023

Software Repositories and Machine Learning Research in Cyber Security.

Mounika Vanamala, Keith Bryant, Alexander Caravella

CoRR, 2023

Recent Advancements In The Field Of Deepfake Detection.

Natalie Krueger, Mounika Vanamala, Rushit Dave

CoRR, 2023

Using Machine Learning To Identify Software Weaknesses From Software Requirement Specifications.

Mounika Vanamala, Sean Loesch, Alexander Caravella

CoRR, 2023

Your Identity is Your Behavior - Continuous User Authentication based on Machine Learning and Touch Dynamics.

Brendan Pelto, Mounika Vanamala, Rushit Dave

CoRR, 2023

Hybrid Deepfake Detection Utilizing MLP and LSTM.

Jacob Mallet, Natalie Krueger, Mounika Vanamala, Rushit Dave

CoRR, 2023

Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications.

Nicholas Lasky, Benjamin Hallis, Mounika Vanamala, Rushit Dave, Jim Seliya

CoRR, 2023

Leveraging Deep Learning Approaches for Deepfake Detection: A Review.

Aniruddha Tiwari, Rushit Dave, Mounika Vanamala

Proceedings of the ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, 2023

Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM.

Jacob Mallet, Laura Pryor, Rushit Dave, Mounika Vanamala

Proceedings of the ISMSI 2023: Proceedings of the 7th International Conference on Intelligent Systems, 2023

Visualization Dashboard for Recommending Attack Patterns Using Topic Modeling.

Jairen Gilmore, Uriah Vendell Moore, Xiaohong Yuan, Taylor Headen, Mounika Vanamala

Proceedings of the 2023 12th International Conference on Software and Information Engineering, 2023

2022

Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication.

Nyle Siddiqui, Rushit Dave, Mounika Vanamala, Naeem Seliya

Mach. Learn. Knowl. Extr., 2022

Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset.

Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Naeem Seliya, Mounika Vanamala

CoRR, 2022

Using Deep Learning to Detecting Deepfakes.

Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala

CoRR, 2022

Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning.

Laura Pryor, Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala, Evelyn R. Sowells Boone

CoRR, 2022

A Close Look into Human Activity Recognition Models using Deep Learning.

Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala

CoRR, 2022

A Close Look into Human Activity Recognition Models using Deep Learning.

Wei Zhong Tee, Rushit Dave, Jim Seliya, Mounika Vanamala

Proceedings of the 3rd International Conference on Computing, 2022

Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning.

Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala

Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning.

Jacob Mallet, Laura Pryor, Rushit Dave, Naeem Seliya, Mounika Vanamala, Evelyn R. Sowells Boone

Proceedings of the Asia Conference on Algorithms, Computing and Machine Learning, 2022

2020

Developing and Assessing a Web-Based Interactive Visualization Tool to Teach Buffer Overflow Concepts.

Jinghua Zhang, Xiaohong Yuan, Jaris Johnson, Jinsheng Xu, Mounika Vanamala

Proceedings of the IEEE Frontiers in Education Conference, 2020