This invention discloses a multi-layered, proactive protection method and
system for security platforms. It generates a traffic tag set by analyzing the source anchor points of multi-level traffic scrubbing data, decomposes the
attack chain, filters and identifies interruption nodes to determine
attack propagation paths, and extracts features of protection blind spots to generate a
threat threshold matrix. It quantifies the temporal coordination strength and periodic superposition effect between
attack signals, identifies superimposed
threat combinations, dynamically adjusts the
threat threshold matrix, and generates supplementary protection parameters. Through auditing and
source tracing analysis, it tracks the triggering trend and reverse propagation path of protection responses, locates silent abrupt change anomalies, and extracts a multi-dimensional protection
feature set. Finally, it performs nonlinear fusion of the threat threshold matrix and supplementary protection parameters, combines forged response attenuation assessment to determine dynamic response weights, and drives the tiered output of the protection-in-depth response
list, providing complete methodological support for precise proactive protection in multi-level collaborative attack scenarios.