Social Network Security Portal with Predictive Risk Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional cybersecurity measures are reactive and ineffective against modern cyber threats that exploit social media and networks, failing to predict and prevent attacks before they occur.
Innovation Solution
A predictive and active social risk management system that uses a scoring algorithm to analyze social entities' data from social networks, identifying risks through a security analysis engine and providing personalized alerts and security actions to users, including continuous scanning and proactive protection against impersonation, phishing, and malware risks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional reactive security measures (anti-virus, firewalls) are used, then endpoint and network protection is provided, but they fail to predict and prevent social media-based cyber threats before attacks occur
Solution Approach 1:
The system performs preliminary actions by continuously scanning social networks and analyzing data associated with social entities before attacks occur. The security analysis engine proactively identifies potential threats, compromised accounts, and malicious entities by examining social media data, user profiles, and network relationships in advance, enabling preventive security measures rather than reactive responses.
2Reliability
If continuous scanning of social networks is performed, then predictive security analysis and early threat detection are achieved, but system complexity and computational resources increase
Solution Approach 1:
The system segments the complex security analysis task into distinct functional modules: a scanning module that collects social network data, a security analysis engine that processes the data using scoring algorithms, and an alerting module that notifies users. This segmentation allows each component to specialize in specific functions, making the overall complex system more manageable and maintainable while achieving comprehensive threat detection.
3Adaptability or versatility
If personalized security alerts and continuous monitoring are provided, then user-specific protection against social engineering and impersonation is achieved, but information processing requirements and data storage needs increase
Solution Approach 1:
The system applies local quality by providing personalized security analysis tailored to each user's specific social network presence, accounts, and risk profile. The security analysis engine generates user-specific risk scores and customized alerts based on individual scanning results, rather than applying generic security measures to all users. This allows the system to process and store only the relevant data needed for each user's protection, optimizing resource utilization.
Data Source
AI summary
A computer implemented method including generating, by one or more processors, an activation request, receiving, from a user device, an activation confirmation, configuring a protection account specific to the user, where configuring the protection account comprises, identifying one or more of the user's social network accounts, authenticating one or more of the user's social network accounts, and generating a protection portal for the user, providing a link to the protection portal to the user, and providing one or more alerts to the user on the protection portal, wherein the one or more alerts identify security risks associated with one or more of the user's social network accounts.