Information flow tracking (IFT) is a fundamental computer security technique used to understand how information moves through a computing system. Hardware IFT techniques specifically target security vulnerabilities related to the design, verification, testing, man- ufacturing, and deployment of hardware circuits.
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Information flow tracking (IFT) is a fundamental computer security technique used to understand how information moves through a computing system.
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Information flow tracing technology ensures the confidentiality and integrity of the system and has found extensive applications in detecting security attacks ...
In this chapter, we explore in depth how to track information flows in Python, and how these flows can be used to determine whether a program behaved as ...
A general dynamic information flow tracking framework for security applications. In Proceedings of the 22nd Annual Computer Security Applications Conference.
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Information Flow Tracking (IFT) provides a formal methodology for modeling and reasoning about security properties related to integrity, confidentiality, ...
Dynamic information flow tracking protects programs against malicious software attacks by identifying spurious information flows from untrusted I/O.
This study provides a comprehensive review and comparative analysis of existing Information Flow Tracking (IFT) tools which underscores the imperative for ...
to cross-site scripting attacks.5 The basic scheme keeps track of a binary property, trusted or untrusted, for every piece of data. Data from untrusted ...
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May 8, 2024 · The idea behind DIFT is to tag (taint) untrusted data and track its propagation at byte or word-granularity through the system to prevent ...