Contagion Risk Detection via Dynamic User Scoring
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Solution Overview
Problem
Existing security systems face challenges in effectively identifying and controlling anomalous, abnormal, or malicious user behavior due to difficulties in assessing the risks associated with user interactions and their influences on others, leading to inefficient resource utilization and inadequate protection.
Innovation Solution
A method and system for automatically detecting and analyzing contagion-based risk events in real-time by processing electronic data and communications to identify contagion networks, assigning risk scores, and using auto-prevention and policy enforcement tools for dynamic data protection and access limitations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If indiscriminate security policy is applied to all user behavior, then security coverage is improved, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent implements risk-based security policies that are locally adapted to each user's specific risk profile, behavior patterns, and contextual factors. Instead of uniform security measures, the system dynamically adjusts security oversight and response levels for different users and situations, allocating resources proportionally to actual risk levels rather than applying blanket policies across all users.
2Difficulty of detecting and measuring
If comprehensive monitoring of user behavior is implemented, then detection capability is improved, but system complexity deteriorates
Solution Approach 1:
The patent introduces intermediary components including behavior analytics engines, risk scoring systems, and contextual data processors that mediate between raw user behavior data and security decisions. These intermediaries aggregate, analyze, and transform complex behavioral data into actionable risk assessments, simplifying the overall system architecture while maintaining comprehensive monitoring capabilities.
3Reliability
If real-time risk assessment is performed for all users, then security response effectiveness is improved, but processing time deteriorates
Solution Approach 1:
The patent performs preliminary risk assessments by continuously analyzing user behavior patterns, establishing baseline profiles, and pre-computing risk scores during normal operations. When security events occur, the system leverages these pre-computed assessments to enable rapid response without requiring time-consuming real-time analysis from scratch, thus maintaining both effectiveness and efficiency.
Data Source
AI summary
A method, system, and computer-usable medium for protecting against contagion-based risk events are disclosed for monitoring behavior of users to construct a contagion network relationship map of connection and influence relationships between different users and then analyzing a received stream of events from the users to identify a critical event performed by a first user having a first risk score so that one or more propagated risk scores can be generated from the first risk score for at least a first connected user based on connection and influence relationships between the first user and the first connected user that are extracted from the contagion network relationship so that an adaptive response may be automatically generated to protect and control against actions by at least the first connected user based on the one or more propagated risk scores.