We present ShadowReplica, a new and efficient approach for accelerating DFT and other shadow memory-based analyses, by decoupling analysis from execution and ...
ABSTRACT. Dynamic data flow tracking (DFT) is a technique broadly used in a variety of security applications that, unfortunately, exhibits poor performance ...
Nov 4, 2013 · We present ShadowReplica, a new and efficient approach for accelerating DFT and other shadow memory-based analyses, by decoupling analysis from ...
We present ShadowReplica, a new and efficient approach for accelerating DFT and other shadow memory-based analyses, by decoupling analysis from execution and ...
Dynamic data flow tracking (DFT) is a technique broadly used in a variety of security applications that, unfortunately, exhibits poor performance, ...
Feb 5, 2024 · Bibliographic details on ShadowReplica: efficient parallelization of dynamic data flow tracking.
Dec 9, 2022 · ABSTRACT. Data flow tracking (DFT) deals with tagging and tracking data of interest as they propagate during program execution. DFT has been.
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Decoupling Dynamic DFT from Application Execution with ShadowReplica. DDFT techniques track the flow of data throughout the execution of a program by ...
SHADOWREPLICA [15] improved the performance by decoupling taint logic from program logic, minimizing the information needed to communicate, and optimizing the ...
ShadowReplica: efficient parallelization of dynamic data flow tracking. K Jee, VP Kemerlis, AD Keromytis, G Portokalidis. Proceedings of the 2013 ACM SIGSAC ...