Reputation-Based Ticket Validation for Anonymous Web Services
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Solution Overview
Problem
Backend mapping services face vulnerabilities due to unverified users accessing their web services, leading to issues like service execution spamming, intensive usage charges, and potential information theft, as they operate under advertisement compensation models and may pay royalties for bogus requests, necessitating a validation mechanism for anonymous applications.
Innovation Solution
A two-level ticket validation system where users receive a client ticket with a reputation that is updated based on service consumption, and a software emulation of a trusted platform module generates an application ticket for accessing services, with service policies defining access levels based on reputation thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If anonymous users are allowed to access services without verification, then ease of operation is improved, but service abuse and spamming increase
Solution Approach 1:
A reputation system acts as an intermediary between anonymous users and services. The system assigns reputation scores to users based on their behavior patterns, and services use these scores to determine access levels. This mediator enables anonymous access while filtering out abusive users through reputation-based thresholds.
Solution Approach 2:
The system changes the parameter of user identification from completely anonymous to pseudonymous with reputation metrics. By introducing reputation scores as a new parameter, the system maintains ease of access for legitimate users while enabling discrimination against abusive users based on their reputation levels.
2Object-affected harmful factors
If service validation and access throttling are implemented, then service abuse is reduced, but device complexity increases
Solution Approach 1:
The system uses copies of reputation data stored in cookies on user devices. Instead of requiring complex real-time verification, the server stores reputation information that users can access locally, simplifying the validation process while maintaining security through distributed storage of trust credentials.
Solution Approach 2:
The reputation system performs preliminary assessment of user trustworthiness before service access. By pre-calculating and storing reputation scores based on initial behavior patterns, the system avoids complex real-time analysis during service execution, reducing operational complexity.
3Reliability
If reputation monitoring and updates are continuously performed, then service security is improved, but use of energy and processing resources increases
Solution Approach 1:
The system performs reputation monitoring and updates periodically rather than continuously. Reputation scores are recalculated at specific intervals or triggered by significant events, reducing processing overhead while maintaining security through regular assessments of user behavior patterns.
Solution Approach 2:
The client ticket granting module performs local processing of reputation data and behavior analysis. By distributing computational tasks to user devices, the system reduces server processing requirements while maintaining security through client-side validation of reputation information.
Data Source
AI summary
Web pages and applications commonly consume functionality provided by services to provide users with a rich experience. For example, a backend mapping service may provide access to these services. However, the users and application consuming the services may be anonymous and unverified. Accordingly, a two ticket validation technique is provided to validate service execution requests from anonymous applications. In particular, a user is provided with a client ticket comprising a reputation. The reputation may be adjusted over time based upon how the user consumes services. An application may request access to a service by providing the client ticket and an application ticket for validation. The reputation of the user may be used to determine an access level at which the application may access the service. Users with a high reputation may receive high quality access to the service, while users with a low reputation may receive lower quality access.