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Published Articles >> Table of Contents >> Abstract
International Symposium on Code Generation and Optimization (CGO'06)
pp. 346-357
Compiler Optimizations to Reduce Security Overhead
Tao Zhang, Georgia Institute of Technology
Xiaotong Zhuang, Georgia Institute of Technology
Santosh Pande, Georgia Institute of Technology
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CGO.2006.8
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| Abstract |
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In this work, we present several compiler
optimizations to reduce the overhead due to software
protection. We first propose an aggressive
rematerialization algorithm which attempts to
maximally realize non-trusted values from other
trusted values thereby avoiding the security cost for
those non-trusted values. We further propose a
compiler technique to utilize the secure storage in our
machine model efficiently. To optimize the security cost
on data that has to be stored in non-trusted storage, we
propose a data grouping technique. Security
operations can be performed over the group of data
instead of over each piece separately. We show an
interesting application of the data grouping technique
to reduce the security cost.
We test the effectiveness of our optimizations on a
recently proposed software protection scheme that
involves large overhead. Our results show that the
above optimizations are effective and reduce the
security overhead significantly.
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 Additional Information
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Citation:
Tao Zhang, Xiaotong Zhuang, Santosh Pande,
"Compiler Optimizations to Reduce Security Overhead,"
cgo,
pp. 346-357,
International Symposium on Code Generation and Optimization (CGO'06),
2006
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