S-DAPT-2026

The 'S-DAPT-2026' dataset/benchmark contains synthetic data designed to evaluate the performance of advanced persistent threat (APT) prediction models, particularly in terms of their ability to handle multi-stage attacks and make predictions under uncertainty.

Papers using S-DAPT-2026 (2)

S-DAPT-2026: A Stage-Aware Synthetic Dataset for Advanced Persistent Threat Detection2026Deep Recurrent Hidden Markov Learning Framework for Multi-Stage Advanced Persistent Threat Prediction2026