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Ayesha Siddiqua Dina
Ayesha Siddiqua Dina
Assistant Professor
Email verificata su floridapoly.edu - Home page
Titolo
Citata da
Citata da
Anno
Intrusion detection based on machine learning techniques in computer networks
AS Dina, D Manivannan
Internet of Things 16, 100462, 2021
1062021
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
642023
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
552022
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
62020
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
42023
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
12023
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
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