Threat Intelligence Platform for Malicious IP Detection
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Solution Overview
Problem
Enterprises and security solutions vendors face limited visibility into malicious internet activities, making it difficult to detect and manage sophisticated threats from evolving attack vectors, necessitating a system for real-time identification and sharing of threat IP addresses across networks.
Innovation Solution
A cloud-based system utilizing sensors to collect and analyze network activity data in real-time, combining first-hand observations with third-party sources, and employing HADOOP technology for scalable processing, threat verification through whitelisting and reputation analysis, and an aging process for threat IP addresses to manage risk effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional security monitoring methods are used, then implementation complexity is low, but visibility into malicious internet activities is limited
Solution Approach 1:
The patent combines multiple data sources including first-hand sensor observations, third-party threat intelligence feeds, and open-source intelligence into a unified threat intelligence platform. This merging of diverse information sources resolves the contradiction by significantly improving visibility into malicious activities while distributing the complexity across multiple integrated components rather than requiring a single complex system.
Solution Approach 2:
The patent introduces cloud-based threat intelligence platforms and data aggregation services as intermediaries between raw network traffic and security analysis systems. These intermediaries pre-process and consolidate threat data from multiple sources, providing enhanced visibility to security systems without requiring them to directly handle the complexity of collecting and processing raw data from numerous sources.
2Loss of time
If real-time threat identification is implemented, then response time to threats is reduced, but data processing requirements increase
Solution Approach 1:
The patent implements preliminary processing of threat data through sensor collection and initial filtering before data reaches the main analysis system. Threat indicators are pre-processed, aggregated, and validated in advance, allowing real-time detection to occur with reduced computational burden on the primary processing system while maintaining rapid response times.
Solution Approach 2:
The patent segments the data processing architecture into distributed components including edge sensors, regional aggregation points, and central analysis platforms. This segmentation allows real-time processing to occur at multiple levels simultaneously, reducing the computational power required at any single point while enabling fast threat detection through distributed parallel processing.
3Measurement precision
If comprehensive threat data collection is performed, then threat identification accuracy is improved, but data volume to be processed increases
Solution Approach 1:
The patent extracts and focuses on specific high-value threat indicators from comprehensive data collections, such as malicious IP addresses, suspicious domain names, and known attack patterns. By extracting only the most relevant threat signals from the broader data set, the system maintains high identification accuracy while reducing the volume of data requiring intensive processing and analysis.
Solution Approach 2:
The patent transforms comprehensive raw threat data into standardized threat intelligence parameters with defined formats, severity levels, and classification schemes. This parameter transformation consolidates diverse data into structured information that maintains analytical accuracy while reducing data volume through normalization and aggregation of related threat indicators.
Data Source
AI summary
A method and system for prosecuting threatening IP addresses on the Internet and publishing a list of these threatening IP addresses for users to block is disclosed herein. If the IP address behaves properly according to a policy adhered to by the users, then the IP address may be paroled and removed from the list.