Malicious Infrastructure Detection Through Statistical Analysis
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Solution Overview
Problem
Existing methods for detecting malicious infrastructure are inefficient in identifying current, past, or future cybercriminal networks without analyzing traffic routes and traffic, and they fail to update their detection rules effectively.
Innovation Solution
A method and system that utilize a processor to analyze infrastructure elements with associated tags, determine statistical relationships, and generate rules for identifying new malicious infrastructure elements by updating a database with machine learning algorithms and continuous Internet scanning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional traffic analysis methods are used to detect malicious infrastructure, then detection capability is limited to active traffic, but the system cannot identify future or dormant malicious infrastructure
Solution Approach 1:
The system performs preliminary actions by analyzing infrastructure elements (domains, IPs, certificates) and their statistical relationships before malicious activity occurs. By building detection rules based on patterns in infrastructure metadata and relationships, the system can identify potentially malicious infrastructure in advance, before any actual malware traffic is generated.
Solution Approach 2:
The patent replaces traditional traffic-based detection mechanisms with a statistical relationship analysis system. Instead of monitoring actual network traffic routes and content, the system analyzes metadata, infrastructure element relationships, and statistical patterns to detect malicious infrastructure, substituting mechanical traffic inspection with computational statistical analysis.
2Ease of manufacture
If static detection rules are used, then implementation is simple, but the system cannot adapt to new malicious infrastructure patterns
Solution Approach 1:
The system implements feedback by continuously analyzing newly discovered malicious infrastructure elements and updating statistical relationships accordingly. When new malicious domains, IPs, or certificates are identified, the system incorporates them into the statistical model, automatically refining detection rules to adapt to emerging threats while maintaining the automated simplicity of rule-based detection.
Solution Approach 2:
The detection system transitions from static rules to dynamic statistical relationships. The rules are no longer fixed but evolve continuously as new infrastructure elements are analyzed and added to the database, allowing the system to adapt to changing malicious patterns while maintaining automated operation through statistical computations.
3Measurement precision
If comprehensive infrastructure analysis is performed, then detection accuracy improves, but computational complexity and processing time increase
Solution Approach 1:
The system extracts and analyzes only the essential statistical relationships between infrastructure elements rather than performing comprehensive analysis of all possible attributes. By focusing on key metadata relationships (domain registration patterns, IP associations, certificate chains) and their statistical correlations, the system achieves high detection accuracy while avoiding the computational overhead of analyzing every possible infrastructure characteristic.
Data Source
AI summary
A method and a system for detecting a malicious infrastructure are provided. The method comprising: receiving a request comprising at least one infrastructure element of a given infrastructure assigned with a respective tag indicative of maliciousness of the given infrastructure; searching a database to identify therein, based at least on the respective tag, and at least one respective parameter of the at least one infrastructure element, and at least one additional infrastructure element and at least one additional respective parameter thereof; determining statistical relationships between the at least one respective parameter of at least one infrastructure element and the at least one additional respective parameter of the at least one additional infrastructure element; determining, based on the statistical relationships, rules for searching the database to identify therein new infrastructure elements; and assigning the respective tag associated with the given malicious infrastructure to the new infrastructure elements, thereby updating the database.