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Protection against Buffer Overflow Attacks through Runtime Memory Layout Randomization

Authors: K. Shiva Kumar; Raghu-Kisore Neelisetti;

Protection against Buffer Overflow Attacks through Runtime Memory Layout Randomization

Abstract

To date a number of comprehensive techniques have been proposed to defend against buffer over attacks. In spite of continuing research in this area, security vulnerabilities in software continue to be discovered and exploited. This is because the existing protection techniques suffer from one or more of the following problems: high run time overheads (often exceeding 100%), incompatibility with legacy C and C++ code, not sufficiently fine grained randomization of memory layout and the inability to perform randomization at run time rather than compile time or link time or load time. While security through diversity is a promising technique to defend against large scale cyber attacks, existing techniques are susceptible to information leakage and brute-force attacks, in addition to the short comings indicated above. To overcome the above indicated drawbacks, in this paper we propose Function Frame Run time Randomization (FFRR) technique. FFRR offers memory layout randomization at run time and performs randomization at the level of individual variables on the stack.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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