Intrusion detection based on machine learning techniques in computer networks AS Dina, D Manivannan Internet of Things 16, 100462, 2021 | 106 | 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 | 64 | 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 | 55 | 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 | 6 | 2020 |
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 | 4 | 2023 |
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 |
Enhancing Security in Internet of Vehicles (Iov) Through Machine Learning-Based Intrusion Detection Systems C Edell, SM Asish, U Mukhopadhyay, AS Dina Available at SSRN 4893933, 2024 | | 2024 |
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 |