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Title: Complementary workflows for identifying one-hop network behavior and multi-hop network dependencies

Abstract

A network analysis tool evaluates network flow information in complementary workflows to identify one-hop behavior of network assets and also identify multi-hop dependencies between network assets. In one workflow (e.g., using association rule learning), the network analysis tool can identify significant one-hop communication patterns to and/or from network assets, taken individually. Based on the identified one-hop behavior, the network analysis tool can discover patterns of similar communication among different network assets, which can inform decisions about deploying patch sets, mitigating damage, configuring a system, or detecting anomalous behavior. In a different workflow (e.g., using deep learning or cross-correlation analysis), the network analysis tool can identify significant multi-hop communication patterns that involve network assets in combination. Based on the identified multi-hop dependencies, the network analysis tool can discover functional relationships between network assets, which can inform decisions about configuring a system, managing critical network assets, or protecting critical network assets.

Inventors:
; ; ;
Issue Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1650839
Patent Number(s):
10637744
Application Number:
15/486,162
Assignee:
Battelle Memorial Institute (Richland, WA)
Patent Classifications (CPCs):
H - ELECTRICITY H04 - ELECTRIC COMMUNICATION TECHNIQUE H04L - TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Patent
Resource Relation:
Patent File Date: 04/12/2017
Country of Publication:
United States
Language:
English

Citation Formats

Carroll, Thomas E., Chikkagoudar, Satish, Arthur-Durett, Kristine M., and Thomas, Dennis G.. Complementary workflows for identifying one-hop network behavior and multi-hop network dependencies. United States: N. p., 2020. Web.
Carroll, Thomas E., Chikkagoudar, Satish, Arthur-Durett, Kristine M., & Thomas, Dennis G.. Complementary workflows for identifying one-hop network behavior and multi-hop network dependencies. United States.
Carroll, Thomas E., Chikkagoudar, Satish, Arthur-Durett, Kristine M., and Thomas, Dennis G.. Tue . "Complementary workflows for identifying one-hop network behavior and multi-hop network dependencies". United States. https://www.osti.gov/servlets/purl/1650839.
@article{osti_1650839,
title = {Complementary workflows for identifying one-hop network behavior and multi-hop network dependencies},
author = {Carroll, Thomas E. and Chikkagoudar, Satish and Arthur-Durett, Kristine M. and Thomas, Dennis G.},
abstractNote = {A network analysis tool evaluates network flow information in complementary workflows to identify one-hop behavior of network assets and also identify multi-hop dependencies between network assets. In one workflow (e.g., using association rule learning), the network analysis tool can identify significant one-hop communication patterns to and/or from network assets, taken individually. Based on the identified one-hop behavior, the network analysis tool can discover patterns of similar communication among different network assets, which can inform decisions about deploying patch sets, mitigating damage, configuring a system, or detecting anomalous behavior. In a different workflow (e.g., using deep learning or cross-correlation analysis), the network analysis tool can identify significant multi-hop communication patterns that involve network assets in combination. Based on the identified multi-hop dependencies, the network analysis tool can discover functional relationships between network assets, which can inform decisions about configuring a system, managing critical network assets, or protecting critical network assets.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2020},
month = {4}
}

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