Behavior specification, finding main, and call graph visualizations

Title: Behavior specification, finding main, and call graph visualizations

Abstract

A process transforms compiled software into a semantic form. The process transforms the code into a semantic form. The process analyzes behavior functionality by processing precise programming behavior abstractions stored in a memory and classifies the code as malware based on the code behavior. Another method identifies the starting point of execution of a compiled program. The method calculates a complexity measure by calculating the number of potential execution paths of local functions; identifies the number of arguments passed to local functions; and identifies the starting point of execution of the compiled program. Another method provides interactive, dynamic visualization of a group of related functions wherein a user can explore the rendered graph and select a specific function and display functions that are color coded by their ancestral relation and their function call distance to the selected function.

Inventors:: Sayre, Kirk D.; Willems, Richard A.; Lindberg, Stephen Lanse

Issue Date:: 2019-02-05

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1502364

Patent Number(s):: 10198580

Application Number:: 15/906,831

Assignee:: UT-BATTELLE, LLC (Oak Ridge, TN)

Patent Classifications (CPCs):: G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING

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G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G06F21/563 - {by source code analysis}

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DOE Contract Number:: AC05-00OR22725

Resource Type:: Patent

Resource Relation:: Patent File Date: 2018 Feb 27

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Sayre, Kirk D., Willems, Richard A., and Lindberg, Stephen Lanse. Behavior specification, finding main, and call graph visualizations.  United States: N. p., 2019. 
        Web.

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                    Sayre, Kirk D., Willems, Richard A., & Lindberg, Stephen Lanse. Behavior specification, finding main, and call graph visualizations.  United States.

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                    Sayre, Kirk D., Willems, Richard A., and Lindberg, Stephen Lanse. Tue .  
        "Behavior specification, finding main, and call graph visualizations".  United States.  https://www.osti.gov/servlets/purl/1502364.

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@article{osti_1502364,

  title        = {Behavior specification, finding main, and call graph visualizations},

  author       = {Sayre, Kirk D. and Willems, Richard A. and Lindberg, Stephen Lanse},

  abstractNote = {A process transforms compiled software into a semantic form. The process transforms the code into a semantic form. The process analyzes behavior functionality by processing precise programming behavior abstractions stored in a memory and classifies the code as malware based on the code behavior. Another method identifies the starting point of execution of a compiled program. The method calculates a complexity measure by calculating the number of potential execution paths of local functions; identifies the number of arguments passed to local functions; and identifies the starting point of execution of the compiled program. Another method provides interactive, dynamic visualization of a group of related functions wherein a user can explore the rendered graph and select a specific function and display functions that are color coded by their ancestral relation and their function call distance to the selected function.},

  doi          = {},

  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2019},

  month        = {2}

}

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Works referenced in this record:

Large-scale malware indexing using function-call graphs
conference, January 2009

Hu, Xin; Chiueh, Tzi-cker; Shin, Kang G.
Proceedings of the 16th ACM conference on Computer and communications security - CCS '09
https://doi.org/10.1145/1653662.1653736

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Title: Behavior specification, finding main, and call graph visualizations

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Citation Formats

Large-scale malware indexing using function-call graphs conference, January 2009

Large-scale malware indexing using function-call graphs
conference, January 2009