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Mounika Vanamala
Mounika Vanamala
Assistant Professor,University of Wisconsin- Eauclaire
Verified email at uwec.edu
Title
Cited by
Cited by
Year
Machine and deep learning applications to mouse dynamics for continuous user authentication
N Siddiqui, R Dave, M Vanamala, N Seliya
Machine Learning and Knowledge Extraction 4 (2), 502-518, 2022
282022
Hold on and swipe: a touch-movement based continuous authentication schema based on machine learning
J Mallet, L Pryor, R Dave, N Seliya, M Vanamala, E Sowells-Boone
2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML …, 2022
252022
Analyzing CVE database using unsupervised topic modelling
V Mounika, X Yuan, K Bandaru
2019 International Conference on Computational Science and Computational …, 2019
242019
Topic modeling and classification of Common Vulnerabilities And Exposures database
M Vanamala, X Yuan, K Roy
2020 International Conference on Artificial Intelligence, Big Data …, 2020
202020
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning
WZ Tee, R Dave, N Seliya, M Vanamala
2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML …, 2022
162022
Using deep learning to detecting deepfakes
J Mallet, R Dave, N Seliya, M Vanamala
2022 9th International Conference on Soft Computing & Machine Intelligence …, 2022
152022
A close look into human activity recognition models using deep learning
WZ Tee, R Dave, J Seliya, M Vanamala
2022 3rd International Conference on Computing, Networks and Internet of …, 2022
152022
Recommending attack patterns for software requirements document
M Vanamala, J Gilmore, X Yuan, K Roy
2020 International Conference on Computational Science and Computational …, 2020
142020
Developing and assessing a web-based interactive visualization tool to teach buffer overflow concepts
J Zhang, X Yuan, J Johnson, J Xu, M Vanamala
2020 IEEE Frontiers in Education Conference (FIE), 1-7, 2020
132020
Continuous User Authentication Using Machine Learning and Multi-Finger Mobile Touch Dynamics with a Novel Dataset
Z DeRidder, N Siddiqui, T Reither, R Dave, B Pelto, M Vanamala, ...
2022 9th International Conference on Soft Computing & Machine Intelligence …, 2022
122022
Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning
L Pryor, J Mallet, R Dave, N Seliya, M Vanamala, ES Boone
arXiv preprint arXiv:2205.08371, 2022
102022
Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication
S Kokal, M Vanamala, R Dave
Journal of Cybersecurity and Privacy 3 (2), 227-258, 2023
62023
Leveraging deep learning approaches for deepfake detection: A review
A Tiwari, R Dave, M Vanamala
Proceedings of the 2023 7th International Conference on Intelligent Systems …, 2023
62023
Interactive Visualization Dashboard for Common Attack Pattern Enumeration Classification
M Vanamala, X Yuan, W Smith, J Bennett
ICSEA 2022, 79, 2022
52022
A course module on HTML5 new features and security concerns
M Vanamala, X Yuan, M Morgan
Journal of Computing Sciences in Colleges 34 (5), 23-30, 2019
52019
Your Identity is Your Behavior-Continuous User Authentication based on Machine Learning and Touch Dynamics
B Pelto, M Vanamala, R Dave
2023 3rd International Conference on Electrical, Computer, Communications …, 2023
32023
Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications
N Lasky, B Hallis, M Vanamala, R Dave, J Seliya
arXiv preprint arXiv:2302.05530, 2023
32023
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM
L Pryor, R Dave, M Vanamala
arXiv preprint arXiv:2302.10280, 2023
32023
Using Machine Learning To Identify Software Weaknesses From Software Requirement Specifications
M Vanamala, S Loesch, A Caravella
arXiv preprint arXiv:2308.05558, 2023
22023
Hybrid Deepfake Detection Utilizing MLP and LSTM
J Mallet, N Krueger, R Dave, M Vanamala
2023 3rd International Conference on Electrical, Computer, Communications …, 2023
22023
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