3 citations · 3 across the 3 of their papers we have counts for
4 papers
SERA-IDS: Structured Experience Retrieval-Augmented Intrusion Detection with Small Language Models
Md Shamimul Islam, Ayesha S. Dina
Large language models (LLMs) offer a flexible approach to network intrusion detection, but direct classification of numerical flow records can be unreliable without traffic- specif…
MA-IDS: Multi-Agent RAG Framework for IoT Network Intrusion Detection with an Experience Library
Md Shamimul Islam, Luis G. Jaimes, Ayesha S. Dina
Network Intrusion Detection Systems (NIDS) face important limitations. Signature-based methods are effective for known attack patterns, but they struggle to detect zero-day attacks…
ALIGNAgent: Adaptive Learner Intelligence for Gap Identification and Next-step guidance
Bismack Tokoli, Luis Jaimes, Ayesha S. Dina
Personalized learning systems have emerged as a promising approach to enhance student outcomes by tailoring educational content, pacing, and feedback to individual needs. However,…
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, D. Manivannan
Attacks on computer networks have increased significantly in recent days, due in part to the availability of sophisticated tools for launching such attacks as well as thriving unde…