Understanding the Effects of Data Corruption on Application Behavior Based on Data Characteristics

George Stefanakis, Vijay Nagarajan, Marcelo Cintra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

In this paper, the results of an experimental study on the error sensitivities of application data are presented. We develop a portable software-implemented fault-injection (SWIFI) tool that, on top of performing single-bit
flip fault injections and capturing their eects on application behavior, is also data-level aware and tracks the corrupted application data to report their high-level characteristics (usage type, size, user, memory space location). After extensive testing of NPB-serial (7.8M fault injections), we are able to characterize the sensitivities of data based on their high-level characteristics. Moreover, we conclude that application data are error sensitive in parts; depending on their type, they have distinct and wide less-sensitive bit ranges either at the MSBs or LSBs. Among other uses, such gained insight could drive the development of sensitivity-aware protection mechanisms of application
data .
Original languageEnglish
Title of host publicationComputer Safety, Reliability, and Security
Subtitle of host publication34th International Conference, SAFECOMP 2015, Delft, The Netherlands, September 23-25, 2015, Proceedings
PublisherSpringer International Publishing
Number of pages15
ISBN (Electronic)978-3-319-24255-2
ISBN (Print)978-3-319-24254-5
Publication statusPublished - 26 Sept 2015

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Dive into the research topics of 'Understanding the Effects of Data Corruption on Application Behavior Based on Data Characteristics'. Together they form a unique fingerprint.

Cite this