Identifying emerging phenomenon in long temporal phenotyping experiments. - Jiajie Peng; Junya Lu; Donghee Hoh; Ayesha S. Dina; Xuequn Shang 001; David M. Kramer 001; Jin Chen 004 (Bioinform., 2020)

Intrusion detection based on Machine Learning techniques in computer networks. - Ayesha S. Dina; D. Manivannan 001 (Internet Things, 2021)

Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks. - Ayesha S. Dina; A. B. Siddique 001; D. Manivannan 001 (IEEE Access, 2022)

FS3: Few-Shot and Self-Supervised Framework for Efficient Intrusion Detection in Internet of Things Networks. - Ayesha S. Dina; A. B. Siddique 001; D. Manivannan 001 (ACSAC, 2023)

Conditional Privacy-preserving Authentication and Message Dissemination Scheme using Timestamp based Pseudonyms for VANETs. - Ayesha S. Dina; D. Manivannan 001 (IWCMC, 2023)

A deep learning approach for intrusion detection in Internet of Things using focal loss function. - Ayesha S. Dina; A. B. Siddique 001; D. Manivannan 001 (Internet Things, 2023)

FSProtoTransfer: Synergizing Few-Shot, Prototypical Networks, and Transfer Learning for Intrusion Detection in VANETs. - Ayesha S. Dina; Colby Jacob Edell; Karim O. Elish; Arijet Sarker (FLAIRS, 2025)