Model checking boot code from AWS data centers.

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Bibliographic Details
Title: Model checking boot code from AWS data centers.
Authors: Cook, Byron1,2 (AUTHOR), Khazem, Kareem1,2 (AUTHOR) karkhaz@karkhaz.com, Kroening, Daniel3 (AUTHOR), Tasiran, Serdar1 (AUTHOR), Tautschnig, Michael1,4 (AUTHOR), Tuttle, Mark R.1 (AUTHOR)
Source: Formal Methods in System Design. Jul2021, Vol. 57 Issue 1, p34-52. 19p.
Subjects: Amazon Web Services Inc., Web services, Data security, Data centers, Scripts
Abstract: This paper describes our experience with symbolic model checking in an industrial setting. We have proved that the initial boot code running in data centers at Amazon Web Services is memory safe, an essential step in establishing the security of any data center. Standard static analysis tools cannot be easily used on boot code without modification owing to issues not commonly found in higher-level code, including memory-mapped device interfaces, byte-level memory access, and linker scripts. This paper describes automated solutions to these issues and their implementation in the C Bounded Model Checker (CBMC). CBMC is now the first source-level static analysis tool to extract the memory layout described in a linker script for use in its analysis. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This paper describes our experience with symbolic model checking in an industrial setting. We have proved that the initial boot code running in data centers at Amazon Web Services is memory safe, an essential step in establishing the security of any data center. Standard static analysis tools cannot be easily used on boot code without modification owing to issues not commonly found in higher-level code, including memory-mapped device interfaces, byte-level memory access, and linker scripts. This paper describes automated solutions to these issues and their implementation in the C Bounded Model Checker (CBMC). CBMC is now the first source-level static analysis tool to extract the memory layout described in a linker script for use in its analysis. [ABSTRACT FROM AUTHOR]
ISSN:09259856
DOI:10.1007/s10703-020-00344-2