| Intrusion detection based on machine learning techniques in computer networks AS Dina, D Manivannan Internet of Things 16, 100462, 2021 | 73 | 2021 |
| A Deep Learning approach for Intrusion Detection in Internet of Things using Focal Loss Function AS Dina, AB Siddique, D Manivannan Internet of Things, 100699, 2023 | 36 | 2023 |
| Effect of balancing data using synthetic data on the performance of machine learning classifiers for intrusion detection in computer networks AS Dina, AB Siddique, D Manivannan IEEE Access 10, 96731-96747, 2022 | 34 | 2022 |
| Identifying emerging phenomenon in long temporal phenotyping experiments J Peng, J Lu, D Hoh, AS Dina, X Shang, DM Kramer, J Chen Bioinformatics 36 (2), 568-577, 2020 | 5 | 2020 |
| Conditional Privacy-preserving Authentication and Message Dissemination Scheme using Timestamp based Pseudonyms for VANETs AS Dina, D Manivannan International Wireless Communications & Mobile Computing Conference (IWCMC), 2023 | 1 | 2023 |
| FS3: Few-Shot and Self-Supervised Framework for Efficient Intrusion Detection in Internet of Things Networks AS Dina, AB Siddique, D Manivannan Proceedings of the 39th Annual Computer Security Applications Conference, 2023 | | 2023 |
| Deep Learning-Based Intrusion Detection Methods for Computer Networks and Privacy-Preserving Authentication Method for Vehicular Ad Hoc Networks A Dina | | 2023 |
| Ranking Plant Genotypes using Photosynthetic Phenotype Data Collected Under Dynamic Environmental Conditions AS Dina, D Hoh, D Kramer, J Chen International Conference on Bioinformatics (InCoB), 2021 | | 2021 |
| Identifying Emerging Phenomenon in Plant Long Temporal Phenotyping Experiments J Peng, J Lu, D Hoh, AS Dina, X Shang, DM Kramer, J Chen bioRxiv, 454686, 2018 | | 2018 |
Dr. D. ManivannanAssociate Professor of Computer ScienceVerified email at cs.uky.edu
