Anti-phishing Filter for Real-time Chat Room Communications
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Solution Overview
Problem
Phishing attacks in chat rooms remain a significant threat due to the anonymity of users and the real-time nature of conversations, which makes users vulnerable to requests for sensitive personal information, despite existing measures being moderately effective.
Innovation Solution
A system and method that monitors chat room communications for predefined keywords and patterns indicative of personal information, logs such exchanges, and replaces the actual data with random data to protect users, while providing warnings to users attempting to share sensitive information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If e-mail spam filters and virus detection software are used to prevent phishing attacks, then protection against e-mail-based phishing is improved, but protection against chat room phishing attacks remains insufficient
Solution Approach 1:
The patent extends phishing protection from e-mail-specific filters to a universal chat room monitoring system that can detect and prevent phishing attempts across multiple communication platforms. The filter center monitors chat room communications using keyword and pattern recognition to identify phishing attempts, making the protection system adaptable to different communication contexts rather than being limited to e-mail only.
2Reliability
If chat room monitoring is implemented to detect phishing attempts, then user protection is improved, but real-time conversation flow may be disrupted
Solution Approach 1:
The patent introduces a filter center as an intermediary component that sits between chat room participants. This mediator monitors communications for phishing attempts using predefined keywords and patterns, then selectively blocks or alerts on suspicious messages. The intermediary approach allows monitoring without requiring changes to user behavior or interrupting legitimate conversations, as the filter operates transparently in the background.
3Measurement precision
If keyword and pattern recognition is used to identify personal information requests, then detection accuracy is improved, but false positives may increase
Solution Approach 1:
The patent applies different monitoring strategies to different parts of chat room communications. Rather than uniformly monitoring all messages with the same sensitivity, the system uses localized keyword and pattern matching targeted at specific phishing indicators. The filter center maintains a database of phishing-related keywords and patterns, applying recognition selectively to identify genuine threats while allowing normal conversation to proceed undisturbed.
Data Source
AI summary
A method operates to detect personal identifying or account information exchanged in a real-time electronic communication occurring between computer network users, such as electronic chat. A detected personal identifier may be recognized as an attempt on the part of one user to engage in a phishing attack upon another user or to otherwise steal the other user's sensitive personal information. Upon recognizing the communication as an unwarranted attempt to collect such information, the electronic communication may be monitored, and communication of the personal information may be prevented.