Summary of Recent Adversarially Robust NIDS and Defense Approaches (2024–2026)

A 2024–2026 summary of research on adversarially robust Network Intrusion Detection Systems (NIDS) and defense approaches. The dataset is a 9.5 KB Excel file authored by Sudip Saha and shared under a CC-BY-4.0 license on figshare. It was last updated on June 1, 2026.

Use Cases

• Benchmarking adversarial defense methods for NIDS based on the summarized approaches.
• Literature review and trend analysis of robust NIDS research from 2024 to 2026.
• Informing the design of new adversarial training or robustness evaluation pipelines for network security.

Strengths

• Explicitly covers a recent time range (2024–2026) for current research trends.
• Shared under a permissive CC-BY-4.0 license, allowing for broad reuse and adaptation.
• File size of 9.5 KB indicates a concise, focused summary.

Limitations

• Row count and specific column-level documentation are unknown, limiting suitability assessment.
• The description is minimal; the actual data structure and content must be inspected after download.

Provenance

Source

figshare

Collection Method

Likely compiled from literature review or survey.

Time Range

2024–2026

Freshness

Last updated 2026-06-01 17:55:07