Domain-Specific Language for Threat Defense
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Solution Overview
Problem
Existing methodologies for threat analysis and mitigation lack a formal language based on information sources like the attack classification and risk assessment framework, and are not domain-specific, making them vulnerable to threat-actor infiltration and exploitation.
Innovation Solution
A method for generating a domain-specific language (DSL) file that defends against attack execution operations by determining a framework based on an attack repository, creating primitives that describe attack execution operations and defense measures, and combining these into a DSL file executable within a specific domain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing threat analysis methodologies are used, then threat analysis can be performed, but they lack domain-specificity and are vulnerable to threat-actor infiltration
Solution Approach 1:
The patent creates domain-specific language files that are tailored to particular domains (e.g., mobile, enterprise, cloud). Each DSL file contains domain-specific primitives and defense steps that are locally optimized for that domain's characteristics, making the defense both reliable and adaptably domain-specific.
Solution Approach 2:
The patent segments threat analysis into discrete, structured components including attack execution operations, primitives with identifiers and descriptors, and defense steps. This segmentation allows the system to be both reliable (through systematic coverage) and adaptable (through domain-specific customization).
2Adaptability or versatility
If general-purpose security systems are used, then broad coverage is achieved, but they can be maliciously used by threat-actors outside intended domains
Solution Approach 1:
By making security systems domain-specific through DSL files, the patent ensures that each system is optimized for its intended domain while being unusable outside that domain. This prevents threat-actors from exploiting general-purpose systems in unintended contexts while maintaining broad coverage across multiple domains through separate DSL files.
3Measurement precision
If formal language based on attack framework is implemented, then threat modeling precision is improved, but system complexity increases
Solution Approach 1:
The patent segments the formal language into structured primitives with specific descriptors (attack type, vulnerability type, stability parameter, intensity data) and organized defense steps. This segmentation makes the complex formal language manageable and implementable while maintaining high threat modeling precision.
Data Source
AI summary
The present disclosure describes defending against an attack execution operation. According to one aspect of the subject matter described in this disclosure, a method for generating a domain-specific language (DSL) file is disclosed. The method may comprise determining, a framework based on an attack repository, determining a first primitive based on the framework, and determining a second primitive based on the framework. In one implementation, the first primitive and the second primitive are fundamental structures or constructs within a DSL. The method further comprises combining the first primitive and the second primitive into a DSL file. In one implementation, the DSL file is executed to defend against a first attack execution operation executed by a threat-actor.