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- W2304934640 abstract "This dissertation describes a comprehensive approach to dealing with protecting sensitive data in memory. It differs from previous work in the area in two ways. First, although removing sensitive data promptly after use is an important and widely accepted practice for ensuring secrecy on computers, prior work has largely ignored both the importance and pitfalls of removing sensitive data from memory. Second, no systematic approaches exist today to ensure the removal of sensitive data in memory, and even if there were, there are no methods today by which one could actually evaluate their efficacy. This dissertation describes a systematic approach to dealing with these issues by proposing techniques to directly measure the availability of retained data in computers and to fix the associated issues in systems software and applications. All together, the examination of software issues associated with protecting sensitive data in memory is a problem we call the data lifetime problem. Ultimately, this dissertation demonstrates that: (1) Removing sensitive data from memory is an important aspect of computer security. Data can be retained in memory for a long time, and removing it is a hard problem particularly for large, complex pieces of software. Protecting sensitive data in memory is largely ignored in the design of systems today, and this lack of awareness can lead to serious security consequences. (2) Modern computer systems do a bad job of removing sensitive data from memory, and this can be precisely measured for complex pieces of software. This dissertation demonstrates a technique based on whole system simulation and hardware level taint analysis that provides a practical solution to the problem of diagnosing, measuring, and understanding data lifetime in large software systems. It also presents the only quantitative analysis of modern, real-world applications with respect to protecting sensitive data in memory. (3) Data lifetime can be minimized by architecting systems to directly address the problem of protecting sensitive data in memory, and that proper handling of sensitive data cannot be done purely by the application; systems support is required. It also demonstrates how such architectures can be effective at minimizing lifetime without compromising performance." @default.
- W2304934640 created "2016-06-24" @default.
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- W2304934640 date "2006-01-01" @default.
- W2304934640 modified "2023-09-27" @default.
- W2304934640 title "Understanding data lifetime" @default.
- W2304934640 hasPublicationYear "2006" @default.
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