most citedEffect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks

3 citations · 3 across the 3 of their papers we have counts for

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cs.CR2026

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…

cs.CR2026

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…