Dynamic defense and network randomization for computer systems
Abstract
The various technologies presented herein relate to determining a network attack is taking place, and further to adjust one or more network parameters such that the network becomes dynamically configured. A plurality of machine learning algorithms are configured to recognize an active attack pattern. Notification of the attack can be generated, and knowledge gained from the detected attack pattern can be utilized to improve the knowledge of the algorithms to detect a subsequent attack vector(s). Further, network settings and application communications can be dynamically randomized, wherein artificial diversity converts control systems into moving targets that help mitigate the early reconnaissance stages of an attack. An attack(s) based upon a known static address(es) of a critical infrastructure network device(s) can be mitigated by the dynamic randomization. Network parameters that can be randomized include IP addresses, application port numbers, paths data packets navigate through the network, application randomization, etc.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1452909
- Patent Number(s):
- 9,985,984
- Application Number:
- 14/923,049
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM) SNL-A
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 2018 May 29
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Chavez, Adrian R., Stout, William M. S., Hamlet, Jason R., Lee, Erik James, and Martin, Mitchell Tyler. Dynamic defense and network randomization for computer systems. United States: N. p., 2018.
Web.
Chavez, Adrian R., Stout, William M. S., Hamlet, Jason R., Lee, Erik James, & Martin, Mitchell Tyler. Dynamic defense and network randomization for computer systems. United States.
Chavez, Adrian R., Stout, William M. S., Hamlet, Jason R., Lee, Erik James, and Martin, Mitchell Tyler. Tue .
"Dynamic defense and network randomization for computer systems". United States. https://www.osti.gov/servlets/purl/1452909.
@article{osti_1452909,
title = {Dynamic defense and network randomization for computer systems},
author = {Chavez, Adrian R. and Stout, William M. S. and Hamlet, Jason R. and Lee, Erik James and Martin, Mitchell Tyler},
abstractNote = {The various technologies presented herein relate to determining a network attack is taking place, and further to adjust one or more network parameters such that the network becomes dynamically configured. A plurality of machine learning algorithms are configured to recognize an active attack pattern. Notification of the attack can be generated, and knowledge gained from the detected attack pattern can be utilized to improve the knowledge of the algorithms to detect a subsequent attack vector(s). Further, network settings and application communications can be dynamically randomized, wherein artificial diversity converts control systems into moving targets that help mitigate the early reconnaissance stages of an attack. An attack(s) based upon a known static address(es) of a critical infrastructure network device(s) can be mitigated by the dynamic randomization. Network parameters that can be randomized include IP addresses, application port numbers, paths data packets navigate through the network, application randomization, etc.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {5}
}