Loading [MathJax]/extensions/MathZoom.js
Transparent DIFC: Harnessing Innate Application Event Logging for Fine-Grained Decentralized Information Flow Control | IEEE Conference Publication | IEEE Xplore

Transparent DIFC: Harnessing Innate Application Event Logging for Fine-Grained Decentralized Information Flow Control


Abstract:

Information flow control is a canonical approach to access control in systems, allowing administrators to assure confidentiality and integrity through restricting the flo...Show More

Abstract:

Information flow control is a canonical approach to access control in systems, allowing administrators to assure confidentiality and integrity through restricting the flow of data. Decentralized Information Flow Control (DIFC) harnesses application-layer semantics to allow more precise and accurate mediation of data. Unfortunately, past approaches to DIFC have depended on dedicated instrumentation efforts or developer buy-in. Thus, while DIFC has existed for decades, it has seen little-to-no adoption in commodity systems; the requirement for complete redesign or retrofitting of programs has proven too high a barrier. In this work, we make the surprising observation that developers have already unwittingly performed the instrumentation efforts required for DIFC — application event logging, a software development best practice used for telemetry and debugging, often contains the information needed to identify application-layer event processes that DIFC mediates. We present T-difc, a kernel-layer reference monitor framework that leverages the insights of application event logs to perform precise decentralized flow control. T-difc identifies and extracts these application events as they are created by monitoring application I/O to log files, then references an administrator-specified security policy to assign data labels and mediate the flow of data through the system. To our knowledge, T-difc is the first approach to DIFC that does not require developer support or custom instrumentation. In a survey of 15 popular open source applications, we demonstrate that T-difc works seamlessly on a variety of popular open source programs while imposing negligible runtime overhead on realistic policies and workloads. Thus, T-difc demonstrates a transparent and non-invasive path forward for the dissemination of decentralized information flow controls.
Date of Conference: 06-10 June 2022
Date Added to IEEE Xplore: 23 June 2022
ISBN Information:
Conference Location: Genoa, Italy

Funding Agency:


References

References is not available for this document.