Distributed Fact-Checking for Social Engineering Detection
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Solution Overview
Problem
Traditional family control security services are ineffective in preventing social engineering attacks that originate in the physical world, as they primarily focus on digital environments and fail to address verbal or physical interactions where vulnerable individuals may be unsupervised.
Innovation Solution
The implementation of distributed fact-checking systems that capture and transcribe communications, extract speech features, generate verification queries, and perform fact-checking to identify false claims, triggering alerts or security actions to protect against potential social engineering attacks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional family control security services focus on digital environments, then digital security monitoring is effective, but physical world social engineering attacks cannot be detected
Solution Approach 1:
The security system is extended to perform multiple functions across different environments. The mobile device now serves both digital security monitoring (original function) and physical world communication analysis (new function) through integrated microphones, cameras, and speech processing capabilities that enable fact-checking of verbal claims made in physical settings.
Solution Approach 2:
The patent introduces an intermediary fact-checking mechanism that bridges the physical and digital worlds. When a verbal claim is made in the physical environment, the system captures it through the microphone, processes it through speech-to-text conversion, and then verifies it against online sources before generating a security alert, thus mediating between physical interaction and digital security response.
2Speed
If real-time communication monitoring is implemented, then social engineering attacks can be detected promptly, but system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary actions by maintaining continuous readiness to capture communications through active microphones and cameras, and by pre-establishing connections to online fact-checking sources. When a potential social engineering attack is detected, the system can immediately begin fact-checking without delay, as the infrastructure is already in place and operational.
Solution Approach 2:
The complex real-time monitoring system is segmented into distinct functional modules: audio capture module, speech-to-text conversion module, fact-checking module, and alert generation module. This segmentation allows each component to be optimized independently and processed in parallel, reducing overall system complexity while maintaining real-time detection capabilities.
3Measurement precision
If comprehensive fact-checking is performed on all claims, then false claims are reliably identified, but processing time and computational resources increase
Solution Approach 1:
The system applies partial fact-checking by focusing verification efforts on specific high-risk claims identified through pattern recognition, rather than comprehensively verifying all statements. The speech processing system identifies keywords and claim structures associated with social engineering attacks and directs fact-checking resources selectively to these targeted areas, achieving sufficient accuracy without exhaustive processing of all communication content.
Data Source
AI summary
The disclosed computer-implemented method for preventing social engineering attacks using distributed fact checking may include (i) capturing one or more words or tones received by a party to a communication, (ii) extracting speech features associated with the words or tones to identify one or more alleged facts in the communication, (iii) generating one or more queries to verify the alleged facts in the communication, (iv) determining, utilizing distributed fact checking, whether the alleged facts are true based on the queries, and (v) performing a security action that generates an alert to protect against a potential social engineering attack on the receiving party when at least one of the alleged facts are determined to be false. Various other methods, systems, and computer-readable media are also disclosed.