Social Network Security Feedback System for Risky User Actions
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Solution Overview
Problem
Users in social media settings lack means to analyze and detect risky behaviors of their contacts, and receive feedback on potential security threats, leading to exposure of personal data to malevolent individuals.
Innovation Solution
A system that tracks and analyzes users' potentially risky actions, transmitting feedback to their social network contacts, allowing them to identify and counteract risky behaviors, and report back on risk avoidance measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users share personal data with social media contacts, then social media interaction and communication are enhanced, but security risk increases as malevolent individuals may gain access to confidential data
Solution Approach 1:
The system implements feedback loops where users receive notifications about their contacts' security behaviors and risk levels. This feedback mechanism allows users to adjust their data sharing decisions based on real-time security assessments of their social network contacts, thus maintaining social interaction while managing security risks.
Solution Approach 2:
The patent introduces an intermediary security analysis system that acts as a mediator between users and their social media contacts. This intermediary analyzes contact behaviors, generates security risk assessments, and provides recommendations, thereby protecting users from direct exposure to malevolent contacts while preserving legitimate social interactions.
2Ease of operation
If traditional social media systems allow free communication among contacts, then ease of operation is improved, but users lack means to detect malevolent access to their data
Solution Approach 1:
The system enables users to self-monitor their own security risk exposure by providing them with tools to view their contacts' security behaviors and receive personalized risk assessments. Users can independently make informed decisions about data sharing without requiring intervention from social media platforms, thus maintaining communication freedom while enhancing security awareness.
Solution Approach 2:
The patent replaces traditional mechanical trust-based social media interactions with an automated electronic security analysis system. This system uses computational algorithms to continuously monitor and assess contact behaviors, substituting human judgment with automated security analytics that can detect malevolent access patterns more reliably.
3Productivity
If users engage in risky online behavior, then productivity and ease of operation are improved, but security vulnerabilities increase exposing personal data to threats
Solution Approach 1:
The system performs preliminary security analysis of user behaviors before significant security incidents occur. By continuously monitoring user online activities and predicting potential security risks based on behavioral patterns, the system can alert users to modify their behavior before vulnerabilities are exploited, thus maintaining productivity while preventing security incidents.
Data Source
AI summary
An approach is provided in receiving risk feedback from a social network. Feedback transmissions are received by a user's system with each of the feedback transmissions being received over a computer network from a social network contact. The received feedback transmissions are analyzed and, based on the analysis, a risky action that was performed by the user is identified. The user performs a risk avoidance measure to counteract the identified risky action. In one embodiment, the risk avoidance measure is reported back to the user's contacts.