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Ayesha Siddiqua Dina

Observed names: Ayesha S. Dina, Ayesha Dina, Ayesha S Dina, Ayesha S. Dina, Dina Ayesha S., Dina, Ayesha, Dina, Ayesha S., Dina, Ayesha Siddiqua, Dr. Ayesha Dina
ORCID: 0000-0001-6897-0837
Observed ORCID: 0000-0001-6897-0837
OpenAlex ID: A5050631988
Intrusion detection based on Machine Learning techniques in computer networks
2021 · Ayesha S. Dina, D. Manivannan · Internet of Things · 201
A deep learning approach for intrusion detection in Internet of Things using focal loss function
2023 · Ayesha S. Dina, A.B. Siddique, et al. · Internet of Things · 181
Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
2022 · Ayesha Siddiqua Dina, A. B. Siddique, et al. · IEEE Access · 118
FS3: Few-Shot and Self-Supervised Framework for Efficient Intrusion Detection in Internet of Things Networks
2023 · Dina Ayesha S., Siddique A.B., et al. · Annual Computer Security Applications Conference · 22
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Identifying emerging phenomenon in long temporal phenotyping experiments
2019 · Jiajie Peng, Junya Lu, et al. · Bioinformatics · 7
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MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
2026 · Islam, Md Shamimul, Jaimes, Luis G., et al. · arXiv (Cornell University) · 6
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Conditional Privacy-preserving Authentication and Message Dissemination Scheme using Timestamp based Pseudonyms for VANETs
2023 · Ayesha S. Dina, D. Manivannan · International Wireless Communications and Mobile Computing Conference (IWCMC) · 3
ALIGNAgent: Adaptive Learner Intelligence for Gap Identification and Next-step guidance
2026 · Tokoli, Bismack, Jaimes, Luis, et al. · arXiv (Cornell University) · 1
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FSProtoTransfer: Synergizing Few-Shot, Prototypical Networks, and Transfer Learning for Intrusion Detection in VANETs
2025 · Ayesha Dina, Colby Edell, et al. · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference · 1
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Multi-Agent Prompting with In-Context Feedback for Cross-Modal Urban Event Chain Prediction
2026 · Bibek Gupta, Siwani Sah, et al. · International Electronic Conference on Sensors and Applications (ECSA)
Decision-Focused Learning for Cyber-Physical Risk-Aware Power Grid Operations
2026 · Dina, Ayesha Siddiqua, Wollega, Ebisa D., et al. · arXiv (Cornell University)
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SERA-IDS: Structured Experience Retrieval-Augmented Intrusion Detection with Small Language Models
2026 · Islam, Md Shamimul, Dina, Ayesha S. · arXiv (Cornell University)
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Artificial Intelligence Approaches for Flood Risk Assessment: A Literature Review
2026 · Maahi Mehta, Ayesha Siddiqua Dina, et al. · International Conference on Industrial Engineering and Operations Management (IEOM)
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Knowledge-Augmented Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities
2026 · Elijah Needham, Denis Ulybyshev, et al. · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
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Systematic Review of AI and Non-AI Approaches for Personalized Learning Paths
2025 · Bismack Tokoli, Ayesha S. Dina, et al. · Communications in computer and information science
Systematic Review of AI and Non-AI Approaches for Personalized Learning Paths
2025 · Bismack Tokoli, Dr. Ayesha Dina, et al. · International Conference on Industrial Engineering and Operations Management (IEOM)
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Large Language Models for Automated Characterization of Cybersecurity Vulnerabilities using N-Shot Learning
2025 · Ayesha Dina, Elijah Needham, et al. · Proceedings of the ... International Florida Artificial Intelligence Research Society Conference
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Enhancing Security in Internet of Vehicles (Iov) Through Machine Learning-Based Intrusion Detection Systems
2024 · Colby Edell, Sarker M. Asish, et al. · SSRN Electronic Journal
Works count: 19
Citation count: 540
H-index: 6
I10-index: 4
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