OS-Level Data Leakage Prevention via Dynamic Code Injection
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Solution Overview
Problem
Current data leakage prevention methods are cumbersome and impractical, as they require developing a plugin for each third-party application, making it difficult to restrict access to sensitive data across various devices and networks, especially in mobile and collaborative work environments where data is frequently shared and accessed by diverse applications.
Innovation Solution
A forced data leakage prevention system that intercepts operating system messages and modifies code instructions of third-party applications to restrict access to secure data, using a centralized policy server to define access controls and apply encryption or digital watermarks, thereby limiting data manipulation and sharing across all devices and applications without the need for specific plugins.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a plugin is developed for each third-party application to prevent data leakage, then data security is improved, but device complexity and implementation difficulty increase significantly
Solution Approach 1:
The patent implements a universal data leakage prevention mechanism at the operating system level that applies to all third-party applications without requiring application-specific plugins. The OS monitors and controls data access requests from any application uniformly, making the system both secure and simple to deploy across diverse applications and devices.
2Reliability
If individual plugins are required for each application, then precise control over data access is achieved, but ease of operation and deployment deteriorate
Solution Approach 1:
The operating system serves as an intermediary between third-party applications and secure data, centralizing the control logic. Instead of embedding control mechanisms within each application plugin, the OS mediates all data access requests uniformly, simplifying deployment while maintaining precise access control through centralized policy enforcement.
3Productivity
If data is frequently shared in mobile and collaborative environments, then productivity and adaptability improve, but data leakage risk increases
Solution Approach 1:
The system establishes data protection mechanisms in advance at the operating system level, before data sharing occurs. By pre-configuring access control policies and monitoring capabilities in the OS, the system enables frequent data sharing for collaborative productivity while automatically preventing leakage risks through pre-established security barriers.
Data Source
AI summary
An information handling system operating a forced data leakage prevention system may comprise a processor executing code instructions of the forced data leakage prevention system to identify a third party application and an associated first dynamic link library address, identify a control policy associated with the third party application and the identified user, wherein the control policy includes a subset of code instructions associated with a secure data set, identify a call to execute code instructions stored at the first dynamic link library address, move the code instructions stored at the first dynamic link library into a second library prior to execution, inject the subset of code instructions into the code instructions stored in the second library according to the control policy, and move the code instructions stored in the second library including the injected subset of code instructions into the first dynamic link library for execution by the processor.