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:
- 1632495
- Patent Number(s):
- 10545746
- Application Number:
- 16/231,711
- 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: 12/24/2018
- Country of Publication:
- United States
- Language:
- English
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., 2020.
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/1632495.
@article{osti_1632495,
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 = {2020},
month = {1}
}
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