Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Inferring Netflow Data

Technical Report ·
DOI:https://doi.org/10.2172/1561820· OSTI ID:1561820
 [1]
  1. Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Netflow data is a specific format for looking at network traffic. With this format, many security tests are easy to run. Cloud Service Providers produce logs that do not contain all of the content that Netflow data contains. There is a possibility that the fields that are in Netflow data but absent in Cloud Service Provider logs can be inferred from the fields that are present in the Cloud Service Provider logs. By inferring the missing data fields, the same test that can be run with Netflow data would be possible to run on the logs produced by Cloud Service Providers. Cloud Service Providers include Amazon Web Services and Box.com. There are multiple different types of Cloud Services, and each provider handles them differently and produces different logs. There are IaaS (meaning infrastructure as a service), Saas (meaning software as a service), and Paas (meaning platform as a service). Each provides a different use for the user.

Research Organization:
Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA); US Department of Homeland Security (DHS)
DOE Contract Number:
AC04-94AL85000
OSTI ID:
1561820
Report Number(s):
SAND--2016-7572R; 646394
Country of Publication:
United States
Language:
English

Similar Records

NetFlow Dynamics
Software · Tue Oct 03 00:00:00 EDT 2017 · OSTI ID:1399215

Globus platform-as-a-service for collaborative science applications
Journal Article · Thu Mar 13 00:00:00 EDT 2014 · Concurrency and Computation. Practice and Experience · OSTI ID:1233224

Use Case-Informed Framework for Utility Cloud Migration
Technical Report · Sun Dec 31 23:00:00 EST 2023 · OSTI ID:2439373

Related Subjects