Transparent application-layer/os deeper packet inspector
Abstract
A computer-implemented method of deep packet inspection (DPI) in a network is provided. The method comprises collecting data packets comprising a number of traffic flows from a number of devices via a number of traffic taps and classifying each traffic flow according to data about network protocol layers of the packets comprising the traffic flow. Application layer metadata is extracted from the packets. Traffic flow classification data and the extracted metadata are ingested into a data cluster and normalized. The normalized classification data and extracted metadata is then correlated to other data sets.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1998490
- Patent Number(s):
- 11677668
- Application Number:
- 17/401,211
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- DOE Contract Number:
- NA0003525
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 08/12/2021
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Urias, Vincent, Van Leeuwen, Brian P., and Stout, William M. S. Transparent application-layer/os deeper packet inspector. United States: N. p., 2023.
Web.
Urias, Vincent, Van Leeuwen, Brian P., & Stout, William M. S. Transparent application-layer/os deeper packet inspector. United States.
Urias, Vincent, Van Leeuwen, Brian P., and Stout, William M. S. Tue .
"Transparent application-layer/os deeper packet inspector". United States. https://www.osti.gov/servlets/purl/1998490.
@article{osti_1998490,
title = {Transparent application-layer/os deeper packet inspector},
author = {Urias, Vincent and Van Leeuwen, Brian P. and Stout, William M. S.},
abstractNote = {A computer-implemented method of deep packet inspection (DPI) in a network is provided. The method comprises collecting data packets comprising a number of traffic flows from a number of devices via a number of traffic taps and classifying each traffic flow according to data about network protocol layers of the packets comprising the traffic flow. Application layer metadata is extracted from the packets. Traffic flow classification data and the extracted metadata are ingested into a data cluster and normalized. The normalized classification data and extracted metadata is then correlated to other data sets.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2023},
month = {6}
}
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