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ORCIDMounika Vanamala
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2020 – today
- 2024
[c12]Ryan Boston, Naeem Seliya, Mounika Vanamala:
Analyzing Tweets for Disaster Prediction. EIT 2024: 439-443- [c11]Benjamin Kirkwood, Mounika Vanamala, Naeem Seliya:
Click Fraud Detection of Online Advertising Using Machine Learning Algorithms. EIT 2024: 586-590 - [c10]Thomas Scott, Naeem Seliya, Mounika Vanamala:
Heart Murmur Prediction with Machine Learning. EIT 2024: 615-620 - [i17]Andrew Root, Liam Jakubowski, Mounika Vanamala:
Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning. CoRR abs/2412.00609 (2024) - 2023
- [j5]Braxton Fair, Cole Harp, Mahlet Asmare, Mohammed Khalil, Rushit Dave, Mounika Vanamala:
Enhancing Mouse Dynamics for Continuous Secure Authentication Using Machine Learning. J. Comput. Sci. Coll. 39(4): 16-25 (2023) - [j4]Ali Rashid, Cole Schoenbauer, James O'Reilly, Marcho Handoko, Rushit Dave, Mounika Vanamala:
Clicking Your Way to Security: A Review of Continuous Authentication with Mouse Dynamics. J. Comput. Sci. Coll. 39(4): 39-49 (2023) - [j3]Sara Kokal, Mounika Vanamala, Rushit Dave:
Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication. J. Cybersecur. Priv. 3(2): 227-258 (2023) - [c9]Jairen Gilmore
, Uriah Vendell Moore, Xiaohong Yuan, Taylor Headen, Mounika Vanamala:
Visualization Dashboard for Recommending Attack Patterns Using Topic Modeling. ICSIE 2023: 46-51 - [c8]Jacob Mallet, Laura Pryor, Rushit Dave, Mounika Vanamala:
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM. ISMSI 2023: 7-11 - [c7]Aniruddha Tiwari, Rushit Dave, Mounika Vanamala:
Leveraging Deep Learning Approaches for Deepfake Detection: A Review. ISMSI 2023: 12-19 - [i16]Nicholas Lasky, Benjamin Hallis, Mounika Vanamala, Rushit Dave, Jim Seliya:
Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications. CoRR abs/2302.05530 (2023) - [i15]Jacob Mallet, Laura Pryor, Rushit Dave, Mounika Vanamala:
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM. CoRR abs/2302.10280 (2023) - [i14]Aniruddha Tiwari, Rushit Dave, Mounika Vanamala:
Leveraging Deep Learning Approaches for Deepfake Detection: A Review. CoRR abs/2304.01908 (2023) - [i13]Jacob Mallet, Natalie Krueger, Mounika Vanamala, Rushit Dave:
Hybrid Deepfake Detection Utilizing MLP and LSTM. CoRR abs/2304.14504 (2023) - [i12]Brendan Pelto, Mounika Vanamala, Rushit Dave:
Your Identity is Your Behavior - Continuous User Authentication based on Machine Learning and Touch Dynamics. CoRR abs/2305.09482 (2023) - [i11]Mounika Vanamala, Sean Loesch, Alexander Caravella:
Using Machine Learning To Identify Software Weaknesses From Software Requirement Specifications. CoRR abs/2308.05558 (2023) - [i10]Natalie Krueger, Mounika Vanamala, Rushit Dave:
Recent Advancements In The Field Of Deepfake Detection. CoRR abs/2308.05563 (2023) - [i9]Mounika Vanamala, Keith Bryant, Alexander Caravella:
Software Repositories and Machine Learning Research in Cyber Security. CoRR abs/2311.00691 (2023) - [i8]Sean Loesch, Ryan Hrastich, Jordan Herbert, Ben Drangstveit, Jacob Weber, Mounika Vanamala:
Secure Arcade: A Gamified Defense Against Cyber Attacks. CoRR abs/2311.16131 (2023) - 2022
- [j2]Nyle Siddiqui, Rushit Dave, Mounika Vanamala, Naeem Seliya:
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. Mach. Learn. Knowl. Extr. 4(2): 502-518 (2022) - [c6]Jacob Mallet, Laura Pryor, Rushit Dave, Naeem Seliya, Mounika Vanamala, Evelyn R. Sowells Boone:
Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. CACML 2022: 442-447 - [c5]Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala:
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. CACML 2022: 456-461 - [c4]Wei Zhong Tee, Rushit Dave, Jim Seliya, Mounika Vanamala:
A Close Look into Human Activity Recognition Models using Deep Learning. CNIOT 2022: 201-206 - [c3]Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala:
Using Deep Learning to Detecting Deepfakes. ISCMI 2022: 1-5 - [c2]Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Mounika Vanamala, Naeem Seliya:
Continuous User Authentication Using Machine Learning and Multi-finger Mobile Touch Dynamics with a Novel Dataset. ISCMI 2022: 42-46 - [i7]Rushit Dave, Naeem Seliya, Laura Pryor, Mounika Vanamala, Evelyn R. Sowells Boone, Jacob Mallet:
Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. CoRR abs/2201.08564 (2022) - [i6]Rushit Dave, Naeem Seliya, Mounika Vanamala, Wei Tee:
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. CoRR abs/2201.08565 (2022) - [i5]Wei Zhong Tee, Rushit Dave, Naeem Seliya, Mounika Vanamala:
A Close Look into Human Activity Recognition Models using Deep Learning. CoRR abs/2204.13589 (2022) - [i4]Laura Pryor, Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala, Evelyn R. Sowells Boone:
Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning. CoRR abs/2205.08371 (2022) - [i3]Nyle Siddiqui, Rushit Dave, Naeem Seliya, Mounika Vanamala:
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. CoRR abs/2205.13646 (2022) - [i2]Jacob Mallet, Rushit Dave, Naeem Seliya, Mounika Vanamala:
Using Deep Learning to Detecting Deepfakes. CoRR abs/2207.13644 (2022) - [i1]Zachary Deridder, Nyle Siddiqui, Thomas Reither, Rushit Dave, Brendan Pelto, Naeem Seliya, Mounika Vanamala:
Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset. CoRR abs/2207.13648 (2022) - 2020
- [c1]Jinghua Zhang, Xiaohong Yuan, Jaris Johnson, Jinsheng Xu, Mounika Vanamala:
Developing and Assessing a Web-Based Interactive Visualization Tool to Teach Buffer Overflow Concepts. FIE 2020: 1-7
2010 – 2019
- 2019
- [j1]Mounika Vanamala, Xiaohong Yuan, Macey Morgan:
A course module on HTML5 new features and security concerns. J. Comput. Sci. Coll. 34(5): 23-30 (2019)
Coauthor Index
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