A General Approach for Efficiently Accelerating Software-based Dynamic Data Flow Tracking on Commodity Hardware

Author(s): Kangkook Jee, Georgios Portokalidis, Vasileios P. Kemerlis, Soumyadeep Ghosh, David I. August and Angelos D. Keromytis

Download: Paper (PDF)

Date: 8 Feb 2012

Document Type: Briefing Papers

Additional Documents: Slides

Associated Event: NDSS Symposium 2012

Abstract:

We present and evaluate a novel methodology for improving the performance overhead of dynamic data flow tracking (DDFT) frameworks, by combining static and dynamic analysis. Specifically, we separate the program logic from the corresponding tracking logic, and apply optimization techniques that eliminate redundant tracking and minimize interference with the target program. Our results indicate a DDFT speedup by as much as 2.23x.