Security Overview Dashboard for Scenario-Based Anomaly Monitoring
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Solution Overview
Problem
Existing security information visualization methods fail to provide a comprehensive overview of security issues and protection measures within user groups, leading to delayed response times and continuous security threats due to the lack of clear, scenario-based insights.
Innovation Solution
A security overview dashboard is implemented that displays anomaly aggregation information and security measure aggregation information based on anomaly identification rules, allowing users to view security issues and measures within specific scenarios, facilitating quick understanding and timely action.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If comprehensive security monitoring is implemented across user groups, then security coverage is improved, but system complexity increases
Solution Approach 1:
The patent segments security scenarios into distinct categories (account security, content security, terminal security, data security) and processes log data separately for each scenario type. This segmentation allows comprehensive security monitoring across multiple dimensions while managing system complexity through modular scenario-based processing.
Solution Approach 2:
The patent implements a universal anomaly identification rule system that can be applied across multiple security scenarios and log types. The same anomaly identification engine processes diverse log data (account logs, content logs, terminal logs, data logs) using configurable rules, providing multi-functional security monitoring without proportionally increasing system complexity.
2Measurement precision
If detailed anomaly identification rules are applied to multiple log types, then measurement precision is improved, but processing complexity increases
Solution Approach 1:
The patent applies different anomaly identification rules tailored to specific log types and security scenarios. Each log type (account, content, terminal, data) has scenario-specific rules that match its characteristics, achieving high measurement precision for anomaly detection while managing processing complexity through localized rule application rather than universal complex processing.
Solution Approach 2:
The patent changes processing parameters by adjusting anomaly identification rules based on security scenarios and log types. The system dynamically configures detection thresholds, rule priorities, and processing depths according to the specific scenario, achieving high measurement precision while adapting processing complexity to match the security needs of each scenario.
3Loss of information
If scenario-based security visualization is implemented, then information clarity is improved, but processing time increases
Solution Approach 1:
The patent segments security information visualization by scenario type, displaying account security, content security, terminal security, and data security anomalies in separate visual sections. This segmentation improves information clarity by organizing security data according to scenario contexts while enabling parallel processing of different scenario types, thereby managing processing time through concurrent scenario analysis.
Solution Approach 2:
The patent implements partial processing by first identifying and displaying critical anomalies that meet specific thresholds, then progressively analyzing less critical cases. The system prioritizes processing high-risk scenarios and urgent anomalies, achieving improved information clarity for critical security issues while reducing processing time by deferri
Data Source
AI summary
A method of security information visualization processing, an electronic device and a storage medium are provided. The method includes: in response to a security overview display instruction, displaying a security overview dashboard of a user group; displaying, in the security overview dashboard, anomaly aggregation information and security measure aggregation information; and aggregately displaying, in a display region corresponding to a security scenario, information of a plurality of anomaly categories associated with the security scenario.