Dynamic Rule Generation for Abnormal Contact Detection
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Solution Overview
Problem
The existing method for detecting abnormal contact information is inefficient due to a small and monotonous set of rules in the rule base, leading to low accuracy and efficiency in identifying abnormal contact information added by third-party applications.
Innovation Solution
A system and method that dynamically generates new filtering rules based on abnormal parameter characteristics, updates the rule base, and sends the updated rules to the terminal for filtering contact entries, eliminating the need for manual rule additions and deletions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual rule updates are used in the rule base, then the rule base remains simple and easy to manage, but the quantity and variety of rules remain small, leading to low detection accuracy and efficiency
Solution Approach 1:
The system automatically generates filtering rules by analyzing abnormal contact information parameters and statistical data, eliminating the need for manual rule creation and updates. The server autonomously identifies patterns and creates rules based on detected anomalies, allowing the rule base to expand dynamically without increasing management complexity
Solution Approach 2:
The system implements a feedback mechanism where detection results and statistical data are continuously analyzed to generate new rules. The server receives detection data, analyzes abnormal patterns, generates updated rules, and sends them back to terminals for improved detection, creating a closed-loop system that continuously improves accuracy
2Productivity
If manual rule updates are used in the rule base, then the system remains easy to operate, but the detection efficiency and productivity are low due to limited rules
Solution Approach 1:
The patent replaces the mechanical manual process of rule creation and updates with an automated computational system. The server automatically analyzes contact information parameters, identifies abnormal patterns through statistical analysis, and generates filtering rules without human intervention, significantly improving detection efficiency
Solution Approach 2:
The system performs self-updating of the rule base by automatically generating rules based on analyzed abnormal contact information. The server autonomously identifies patterns, creates rules, and distributes them to terminals, enabling continuous improvement of detection efficiency without manual intervention
3Adaptability or versatility
If the rule base contains few rules, then the system remains simple and manageable, but the ability to detect diverse abnormal contact information is limited
Solution Approach 1:
The rule base transitions from a static, manually-updated collection to a dynamic system that automatically adapts and expands. The server continuously analyzes abnormal contact information, generates new rules based on detected patterns, and updates the rule base in real-time, allowing the system to adapt to diverse and evolving abnormal contact information types
Solution Approach 2:
The automated rule generation system creates a universal rule base that can detect various types of abnormal contact information through a single mechanism. By analyzing different parameters (contact names, phone numbers, email addresses) and generating appropriate rules, the system achieves broad detection coverage without requiring separate manual rules for each case type
Data Source
AI summary
Aspects of the disclosure provide an apparatus that includes interface circuitry and processing circuit. The interface circuitry is configured to receive contact information provided by a terminal device for a contact entry in the terminal device. The contact information includes at least one communication attribute parameter for representing an attribute of the contact entry for communication, and the communication attribute parameter includes one or more parameter characteristics. The processing circuitry is configured to determine whether the contact information of the contact entry is abnormal with one or more abnormal parameter characteristics, generate, when the contact information of the contact entry is determined to be abnormal, a new filtering rule for filtering contact entries according to the one or more abnormal parameter characteristics, and add the filtering rule to a rule base to obtain an updated rule base.