Kernel Instrumentation for Encrypted Traffic Monitoring
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Solution Overview
Problem
In distributed enterprise environments with cloud-based applications, traditional security practices struggle to monitor and protect data due to encrypted communication, making it difficult to intercept and analyze network traffic without decryption keys, leading to vulnerabilities.
Innovation Solution
Instrumentation techniques are used to execute sub-programs with kernel privileges in the operating system to extract encryption keys from applications, allowing for decryption and analysis of encrypted traffic, and leveraging an enterprise agent to intercept and store encrypted traffic for security monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional security practices are used to monitor network traffic, then physical access to devices can be secured, but encrypted communication prevents effective monitoring of cloud-based applications
Solution Approach 1:
The patent introduces an intermediary component (security agent or instrumentation module) that sits between the application and the network stack, capturing encryption keys and decrypted data before they are transmitted. This intermediary enables monitoring of encrypted communications without requiring physical access to devices or breaking the encryption itself, thus resolving the contradiction between monitoring effectiveness and compatibility with encrypted cloud communications.
2Loss of information
If instrumentation techniques are used to extract encryption keys from applications, then monitoring of encrypted traffic is enabled, but system security and stability may be compromised
Solution Approach 1:
The patent applies preliminary action by instrumenting the application or library code in advance to capture encryption keys and decrypted data at the source, before the data is transmitted over the network. This preliminary capture eliminates the need for complex runtime interception or decryption of network traffic, thereby maintaining system security and stability while enabling effective monitoring.
Solution Approach 2:
The patent replaces traditional mechanical/network-based interception methods (such as packet sniffing or man-in-the-middle attacks) with a software-based instrumentation approach that integrates directly into the application's execution flow. This substitution allows for secure and stable key extraction without compromising the underlying system security architecture.
3Difficulty of detecting and measuring
If sub-programs are executed with kernel privileges to extract data, then access to application memory is enabled, but system security risks increase
Solution Approach 1:
The patent introduces a trusted intermediary component (such as a verified instrumentation module or security agent) that acts as a mediator between the kernel and application memory. This intermediary is granted controlled access to runtime memory spaces through verified sub-programs, enabling data extraction while maintaining system security through strict access controls and verification mechanisms.
Solution Approach 2:
The patent changes the parameters of sub-program execution by implementing strict verification of termination conditions, execution time limits, and memory access boundaries. These parameter changes ensure that sub-programs executed with kernel privileges operate within safe constraints, reducing system security risks while still enabling access to application memory for monitoring purposes.
4Reliability
If verification of sub-program termination is implemented, then system safety is improved, but execution time may be extended
Solution Approach 1:
The patent applies preliminary action by pre-verifying and pre-compiling sub-programs with guaranteed termination conditions before they are executed in the kernel. This preliminary verification ensures that sub-programs have bounded execution time and will terminate under all conditions, thereby improving system safety without adding runtime overhead for verification.
Solution Approach 2:
The patent replaces runtime verification mechanisms (which would add time overhead) with compile-time verification and static analysis of sub-programs. By verifying termination conditions and execution bounds before deployment, the system achieves high safety guarantees without extending actual execution time during runtime monitoring operations.
Data Source
AI summary
The disclosed embodiments disclose techniques for leveraging instrumentation capabilities to enable monitoring services. During operation, an operating system kernel is instrumented to associate a sub-program with a target operation. Upon receiving a request from an application to perform the target operation, the operating system kernel executes the sub-program with kernel privileges in the process context of the application. The sub-program analyzes the memory space associated with the application to extract a desired data value. This extracted data value is returned to at least one of a specified target process or target location.