An Efficient Platform for the Automatic Extraction of Patterns in Native Code
Joint Authors
Escalada, Javier
Ortin, Francisco
Scully, Ted
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-02-28
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Different software tools, such as decompilers, code quality analyzers, recognizers of packed executable files, authorship analyzers, and malware detectors, search for patterns in binary code.
The use of machine learning algorithms, trained with programs taken from the huge number of applications in the existing open source code repositories, allows finding patterns not detected with the manual approach.
To this end, we have created a versatile platform for the automatic extraction of patterns from native code, capable of processing big binary files.
Its implementation has been parallelized, providing important runtime performance benefits for multicore architectures.
Compared to the single-processor execution, the average performance improvement obtained with the best configuration is 3.5 factors over the maximum theoretical gain of 4 factors.
American Psychological Association (APA)
Escalada, Javier& Ortin, Francisco& Scully, Ted. 2017. An Efficient Platform for the Automatic Extraction of Patterns in Native Code. Scientific Programming،Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1203353
Modern Language Association (MLA)
Escalada, Javier…[et al.]. An Efficient Platform for the Automatic Extraction of Patterns in Native Code. Scientific Programming No. 2017 (2017), pp.1-16.
https://search.emarefa.net/detail/BIM-1203353
American Medical Association (AMA)
Escalada, Javier& Ortin, Francisco& Scully, Ted. An Efficient Platform for the Automatic Extraction of Patterns in Native Code. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-16.
https://search.emarefa.net/detail/BIM-1203353
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203353