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Title: Method of resource-limited device and device class identification using system and function call tracing techniques, performance, and statistical analysis

Abstract

Methods for cyber physical systems device classification are provided. A method can include receiving system and function calls and parameters and a device performance index from an unknown CPS device and a device performance index of similar class of CPS devices, calculating an autocorrelation value between different realizations of the system and function calls and parameters of the known CPS device, determining whether the autocorrelation value is greater than a threshold amount, and storing the system and function calls and parameters and the device performance characteristics of the known CPS device in the database. A method can also include calculating a correlation between system and function calls and parameters of an unknown CPS device and known CPS devices classes included in the database, as well as determining whether the maximum correlation is also greater than a threshold amount.

Inventors:
; ;
Publication Date:
Research Org.:
Florida International Univ., Miami, FL (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1568120
Patent Number(s):
10,242,193
Application Number:
15/862,044
Assignee:
The Florida International University Board of Trustees (Miami, FL)
DOE Contract Number:  
OE0000779
Resource Type:
Patent
Resource Relation:
Patent File Date: 01/04/2018
Country of Publication:
United States
Language:
English
Subject:
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE

Citation Formats

Babun, Leonardo, Aksu, Hidayet, and Uluagac, A. Selcuk. Method of resource-limited device and device class identification using system and function call tracing techniques, performance, and statistical analysis. United States: N. p., 2019. Web.
Babun, Leonardo, Aksu, Hidayet, & Uluagac, A. Selcuk. Method of resource-limited device and device class identification using system and function call tracing techniques, performance, and statistical analysis. United States.
Babun, Leonardo, Aksu, Hidayet, and Uluagac, A. Selcuk. Tue . "Method of resource-limited device and device class identification using system and function call tracing techniques, performance, and statistical analysis". United States. https://www.osti.gov/servlets/purl/1568120.
@article{osti_1568120,
title = {Method of resource-limited device and device class identification using system and function call tracing techniques, performance, and statistical analysis},
author = {Babun, Leonardo and Aksu, Hidayet and Uluagac, A. Selcuk},
abstractNote = {Methods for cyber physical systems device classification are provided. A method can include receiving system and function calls and parameters and a device performance index from an unknown CPS device and a device performance index of similar class of CPS devices, calculating an autocorrelation value between different realizations of the system and function calls and parameters of the known CPS device, determining whether the autocorrelation value is greater than a threshold amount, and storing the system and function calls and parameters and the device performance characteristics of the known CPS device in the database. A method can also include calculating a correlation between system and function calls and parameters of an unknown CPS device and known CPS devices classes included in the database, as well as determining whether the maximum correlation is also greater than a threshold amount.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {3}
}

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Works referenced in this record:

Detecting and preventing malcode execution
patent, June 2011


Identifying device state changes using power data and network data
patent, July 2017


Call trace on a packet switched network
patent, August 2005