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Title: Biosequence-based approach to analyzing binaries

Abstract

In a dynamic computing environment, it is a nontrivial task to verify code running in the environment because most approaches to software similarity require extensive and time-consuming analysis of a binary, or the approaches fail to recognize executables that are similar but nonidentical. A biosequence-based method for quantifying similarity of executable binaries is used to identify allowed codes in a real-world multi-user environment.

Inventors:
; ; ;
Issue Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1531405
Patent Number(s):
10191726
Application Number:
15/130,837
Assignee:
Battelle Memorial Institute (Richland, WA)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G - PHYSICS G16 - INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS G16B - BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
DOE Contract Number:  
AC06-76RL01830
Resource Type:
Patent
Resource Relation:
Patent File Date: 2016-04-15
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Peterson, Elena S., Oehmen, Christopher S., Phillips, Aaron R., and Curtis, Darren S. Biosequence-based approach to analyzing binaries. United States: N. p., 2019. Web.
Peterson, Elena S., Oehmen, Christopher S., Phillips, Aaron R., & Curtis, Darren S. Biosequence-based approach to analyzing binaries. United States.
Peterson, Elena S., Oehmen, Christopher S., Phillips, Aaron R., and Curtis, Darren S. Tue . "Biosequence-based approach to analyzing binaries". United States. https://www.osti.gov/servlets/purl/1531405.
@article{osti_1531405,
title = {Biosequence-based approach to analyzing binaries},
author = {Peterson, Elena S. and Oehmen, Christopher S. and Phillips, Aaron R. and Curtis, Darren S.},
abstractNote = {In a dynamic computing environment, it is a nontrivial task to verify code running in the environment because most approaches to software similarity require extensive and time-consuming analysis of a binary, or the approaches fail to recognize executables that are similar but nonidentical. A biosequence-based method for quantifying similarity of executable binaries is used to identify allowed codes in a real-world multi-user environment.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {1}
}

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Works referenced in this record:

Automated interface-specification generation for enterprise architectures
patent, January 2013


Pattern implementation technique
patent, February 2014


Natural-language information processor with association searches limited within blocks
patent, April 2002


Predicate matching library for complex program analysis
patent, November 2014


Generating similarity scores for matching non-identical data strings
patent, October 2010