Security Vulnerability Mining from Social Media
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Solution Overview
Problem
Software users face challenges in staying informed about security vulnerabilities due to the delayed communication of security information, as vulnerabilities are often published in informal channels like social media before being officially announced, creating windows of opportunity for attackers.
Innovation Solution
Systems and methods are configured to mine security vulnerability information from informal sources such as social media, blogs, and forums, using a backend engine that creates user-specific search phrases, consolidates search results, and alerts users to potential security issues, while refining data mining by tracking source reputation and referencing formal official and third-party sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If security vulnerability information is published through formal official channels only, then information quality and reliability are improved, but information freshness and timeliness deteriorate
Solution Approach 1:
The patent segments information sources into formal official channels (for reliability) and informal social media channels (for freshness). The system separately monitors both types of sources and processes their information independently, allowing it to capture timely alerts from social media while maintaining verification capabilities through formal channels.
Solution Approach 2:
The patent introduces an intermediary system that bridges formal and informal information channels. This intermediary automatically monitors social media for vulnerability keywords, validates findings against formal sources, and delivers consolidated alerts to users, thus reconciling the tension between speed and reliability.
2Measurement precision
If manual monitoring of security information channels is performed, then information accuracy is improved, but productivity and response time deteriorate
Solution Approach 1:
The patent implements self-service automation where the system automatically performs information gathering, keyword matching, result consolidation, and alert generation without requiring manual intervention. This maintains accuracy through systematic processing while dramatically improving productivity and response time.
Solution Approach 2:
The patent replaces manual mechanical monitoring with an automated computer-based system that uses algorithms to scan social media, match vulnerability patterns, and generate alerts. This substitution maintains or improves accuracy while eliminating the time constraints of human monitoring.
3Loss of information
If multiple security information channels are monitored, then information completeness is improved, but device complexity and processing overhead increase
Solution Approach 1:
The patent merges multiple information channels (formal and informal) into a unified monitoring system that processes all sources through a common architecture. By consolidating the monitoring, validation, and alerting functions into a single integrated system, it achieves information completeness without proportionally increasing complexity.
Solution Approach 2:
The patent creates a universal system that handles multiple types of information sources using the same core mechanisms: keyword-based scanning, pattern matching, result consolidation, and alert generation. This multi-functionality allows comprehensive channel monitoring without requiring separate complex systems for each source type.
Data Source
AI summary
Embodiments provide systems and methods configured to mine information available from informal sources (e.g., social media, blogs, and forums) regarding security vulnerabilities. Particular embodiments may comprise engine(s) of a backend in communication with a user through an interface of a frontend, and also in communication with an underlying database to store security information and related information (e.g. search parameters). Embodiments may allow creation of user-specific search phrases for searching information in one or more informal social media information sources. Search results may be consolidated, and users such as system administrators quickly alerted to possible security issues. Embodiments may refine data mining over time by tracking the reputation (e.g. for data accuracy, freshness) of various sources. Embodiments may also reference formal official and third party sources of security information.