Adaptive Service Request Verification by Client And Service Features
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Solution Overview
Problem
Existing service request processing methods struggle to accurately verify clients, leading to inefficiencies and resource waste due to indiscriminate verification manners that are either too complex for legitimate users or easily bypassed by malicious users.
Innovation Solution
A method and apparatus that dynamically determine a verification manner based on client and service features, using a candidate verification manner set, first and second scores, and client type to enhance flexibility, accuracy, and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a preset verification manner is used to verify all clients, then malicious users can be identified, but legitimate users experience unnecessary complexity and verification failures
Solution Approach 1:
The verification manner is made dynamic by selecting different verification methods based on client features and service features. The system dynamically determines which verification manner to apply rather than using a fixed preset verification for all clients, thereby adapting the verification complexity to the actual risk level of each client-service combination.
Solution Approach 2:
Different verification manners are applied to different clients based on their specific features. Instead of uniform verification, the system applies verification locally tailored to each client's characteristics and the service they are accessing, ensuring that only necessary verification complexity is imposed on each user.
2Ease of operation
If simple verification manners are used, then user experience is maintained, but malicious users can easily bypass verification
Solution Approach 1:
The system dynamically adjusts verification complexity based on assessed risk. When a client is evaluated as high-risk based on their features, more rigorous verification manners are selected. When low-risk, simpler verification is applied, thus maintaining user experience while ensuring security where needed.
Solution Approach 2:
The verification parameters are changed based on client and service features. The system modifies the difficulty and type of verification by selecting from multiple verification manners with different complexity levels, adjusting the verification stringency to match the risk profile of the client-service interaction.
3Reliability
If multiple verification manners are always applied, then verification accuracy improves, but system complexity and processing time increase
Solution Approach 1:
The system extracts and applies only the necessary verification manner from the set of available verification methods. Instead of always applying multiple verification layers, the system selects and applies only the verification manner appropriate for the specific client-service combination, removing unnecessary verification complexity.
Solution Approach 2:
A unified verification selection mechanism handles multiple verification manners through a single standardized interface. The system provides a universal framework that can select from different verification types (SMS, image selection, etc.) based on features, rather than maintaining separate complex verification systems for each method.
4Reliability
If verification is applied uniformly to all service requests, then security is maintained, but resource efficiency decreases due to wasted verification on low-risk requests
Solution Approach 1:
The system applies verification partially rather than universally. By assessing client and service features, the system applies verification only when necessary and to the extent needed, avoiding excessive verification on low-risk requests while maintaining adequate security on high-risk requests.
Solution Approach 2:
The verification parameters are adjusted based on risk assessment derived from client and service features. The system changes the verification intensity and type to match the actual security needs of each request, optimizing resource usage by applying stronger verification only when the risk profile justifies it.
Data Source
AI summary
The present disclosure provides a service request processing method, an electronic device, and a storage medium. The method includes: receiving a target service request for a target service sent by a client; determining a candidate verification manner set corresponding to the target service request; determining a target verification manner from the candidate verification manner set based on a first client feature of the client and/or a feature of a service corresponding to the target service; and verifying the client based on the target verification manner, and determining a response manner corresponding to the target service request based on a verification result.