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Peter Feiner

dblp:56/11029 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 1 · 1 first-authorSoftware engineering, systems software and programming languages · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Operating systems · 50% Runtime systems and virtual machines · 50%
Network and information security
1 paper
Systems and software security · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Runtime systems and virtual machines › binary translation
dynamic binary translation
0.112012
Comprehensive kernel instrumentation via dynamic binary translation · ASPLOS 2012
Operating systems
kernel instrumentation
0.112012
Comprehensive kernel instrumentation via dynamic binary translation · ASPLOS 2012
Systems and software security
memory safety
0.012012
Comprehensive kernel instrumentation via dynamic binary translation · ASPLOS 2012
YearPublicationVenuePosition
2012 Comprehensive kernel instrumentation via dynamic binary translation
abstract
Dynamic binary translation (DBT) is a powerful technique that enables fine-grained monitoring and manipulation of an existing program binary. At the user level, it has been employed extensively to develop various analysis, bug-finding, and security tools. Such tools are currently not available for operating system (OS) binaries since no comprehensive DBT framework exists for the OS kernel. To address this problem, we have developed a DBT framework that runs as a Linux kernel module, based on the user-level DynamoRIO framework. Our approach is unique in that it controls all kernel execution, including interrupt and exception handlers and device drivers, enabling comprehensive instrumentation of the OS without imposing any overhead on user-level code. In this paper, we discuss the key challenges in designing and building an in-kernel DBT framework and how the design differs from user-space. We use our framework to build several sample instrumentations, including simple instruction counting as well as an implementation of shadow memory for the kernel. Using the shadow memory, we build a kernel stack overflow protection tool and a memory addressability checking tool. Qualitatively, the system is fast enough and stable enough to run the normal desktop workload of one of the authors for several weeks.
Peter Feiner, Angela Demke Brown, Ashvin Goel
ASPLOS1