RESTful API Security Policy Enforcement for Medical Data
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Solution Overview
Problem
Existing medical data management systems face scalability issues in securing and managing large volumes of sensitive patient data, particularly with conventional APIs being ill-equipped to handle growing demands and user bases, leading to inefficient and inconsistent modifications.
Innovation Solution
A method and system for enforcing security policies in a Representational State Transfer (RESTful) API, which processes requests by determining user information and applying appropriate security policies based on user roles and resource types, ensuring secure access to patient data through a hierarchical security model and predicate expressions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional APIs are used to manage medical data, then basic data access is enabled, but scalability and security for large volumes of sensitive patient data deteriorate
Solution Approach 1:
The patent segments the API into multiple hierarchical layers (RESTful API gateway, service layer, data access layer) with distinct security policies applied at each level. This segmentation allows the system to scale by adding layers without compromising security, as each layer independently enforces its own security rules while maintaining overall system reliability.
Solution Approach 2:
The patent introduces an intermediary security policy enforcement point between the conventional API and the patient data. This intermediary layer validates requests, applies security rules, and mediates access control, thereby enhancing data security without blocking the scalability of the underlying API infrastructure.
2Reliability
If security policies are enforced for every request, then data access control is improved, but processing latency and computational resources increase
Solution Approach 1:
The patent implements preliminary action by pre-evaluating and caching security policies for common request patterns before actual data access occurs. Security rules are compiled and stored in an optimized format, allowing rapid enforcement during runtime without performing full policy evaluation for every request, thus reducing processing latency while maintaining strict access control.
Solution Approach 2:
The patent applies partial action by implementing selective security policy enforcement based on request priority and data sensitivity. High-priority time-critical requests receive expedited processing with minimized security checks, while less urgent requests undergo comprehensive policy validation. This approach balances access control requirements with latency constraints by applying appropriate levels of security scrutiny to different request types.
Data Source
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AI summary
Embodiments provide techniques for enforcing a security policy in a server application that provides a Representational State Transfer (RESTful) Application Program Interface (API). Embodiments receive a request specifying an action and a logical resource identifier and in compliance with the RESTful API. A logical resource corresponding to the logical resource identifier is determined. Embodiments determine user information corresponding to a requestor from which the request was received. Additionally, a security policy to apply to the request is determined based on the determined user information and the logical resource. Embodiments then process the received request according to the determined security policy.