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Cybersecurity Knowledge Graph

Developed by CyberPeace-Institute
Fine-tuned based on the SecureBERT framework for extracting event cores, arguments, and their relationships from cybersecurity texts to construct knowledge graphs.
Downloads 548
Release Time : 9/19/2023

Model Overview

This model can identify event cores, arguments, and their semantic relationships from cybersecurity-related texts, supporting the determination of event reality (actual/not occurred/generic events), fully implementing the technical solution of the CASIE paper.

Model Features

Multi-level Event Analysis
Simultaneously identifies event cores (multi-word phrases), participating arguments, and their semantic role relationships.
Reality Determination
Can distinguish whether events actually occurred (Actual), did not occur (Other), or are conceptually mentioned (Generic).
Domain-specific Adaptation
Fine-tuned based on the cybersecurity-specific SecureBERT framework, optimized for cybersecurity texts.

Model Capabilities

Cybersecurity Event Identification
Semantic Role Labeling
Knowledge Graph Construction
Event Reality Determination

Use Cases

Security Intelligence Analysis
Attack Event Structuring
Automatically extracts attack event elements (attacker, target, method, time, etc.) from security reports.
Generates standardized event knowledge graphs.
Threat Intelligence Processing
Automated Intelligence Extraction
Processes large volumes of threat intelligence data to automatically identify key security events and their related entities.
Improves intelligence processing efficiency.
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