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 | 28 | 2022 |
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 | 25 | 2022 |
Analyzing CVE database using unsupervised topic modelling V Mounika, X Yuan, K Bandaru 2019 International Conference on Computational Science and Computational …, 2019 | 24 | 2019 |
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 | 20 | 2020 |
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 | 16 | 2022 |
Using deep learning to detecting deepfakes J Mallet, R Dave, N Seliya, M Vanamala 2022 9th International Conference on Soft Computing & Machine Intelligence …, 2022 | 15 | 2022 |
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 | 15 | 2022 |
Recommending attack patterns for software requirements document M Vanamala, J Gilmore, X Yuan, K Roy 2020 International Conference on Computational Science and Computational …, 2020 | 14 | 2020 |
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 | 13 | 2020 |
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 | 12 | 2022 |
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 | 10 | 2022 |
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 | 6 | 2023 |
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 | 6 | 2023 |
Interactive Visualization Dashboard for Common Attack Pattern Enumeration Classification M Vanamala, X Yuan, W Smith, J Bennett ICSEA 2022, 79, 2022 | 5 | 2022 |
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 | 5 | 2019 |
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 | 3 | 2023 |
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 | 3 | 2023 |
Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM L Pryor, R Dave, M Vanamala arXiv preprint arXiv:2302.10280, 2023 | 3 | 2023 |
Using Machine Learning To Identify Software Weaknesses From Software Requirement Specifications M Vanamala, S Loesch, A Caravella arXiv preprint arXiv:2308.05558, 2023 | 2 | 2023 |
Hybrid Deepfake Detection Utilizing MLP and LSTM J Mallet, N Krueger, R Dave, M Vanamala 2023 3rd International Conference on Electrical, Computer, Communications …, 2023 | 2 | 2023 |