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Networked-based Cyber Analysis using Deep Packet Inspection (DPI) for High-Speed Networks

Van Leeuwen, Brian P.; Gao, Jason H.; Yin, Kevin H.; Anthony, Benjamin; Urias, Vincent

Today’s networked systems utilize advanced security components such as Next Generation Firewall (NGFW), Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS), and methods for network traffic classification. A fundamental aspect of these security components and methods is network packet visibility and packet inspection. To achieve packet visibility, a compute mechanism used by these security components and methods is Deep Packet Inspection (DPI). DPI is used to obtain visibility into packet fields by looking deeper inside packets, beyond just IP address, port, and protocol. However, DPI is considered extremely expensive in terms of compute processing costs and very challenging to implement on high speed network systems. The fundamental scientific paradigm addressed in this research project is the application of greater network packet visibility and packet inspection at data rates greater than 40Gbps to secure computer network systems. The greater visibility and inspection will enable detection of advanced content-based threats that exploit application vulnerabilities and are designed to bypass traditional security approaches such as firewalls and antivirus scanners. Greater visibility and inspection are achieved through identification of the application protocol (e.g., HTTP, SMTP, Skype) and, in some cases, extraction and processing of the information contained in the packet payload. Analysis is then performed on the resulting DPI data to identify potentially malicious behavior. In order to obtain visibility and inspect the application protocol and contents at high speed data rates, advanced DPI technologies and implementations are developed.

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TYPE SAND Report YEAR 2019
DOIOSTI

Adaptive multi-index collocation for uncertainty quantification and sensitivity analysis

Jakeman, John D.; Eldred, Michael S.; Geraci, G.; Gorodetsky, A.

In this paper, we present an adaptive algorithm to construct response surface approximations of high-fidelity models using a hierarchy of lower fidelity models. Our algorithm is based on multiindex stochastic collocation and automatically balances physical discretization error and response surface error to construct an approximation of model outputs. This surrogate can be used for uncertainty quantification (UQ) and sensitivity analysis (SA) at a fraction of the cost of a purely high-fidelity approach. We demonstrate the effectiveness of our algorithm on a canonical test problem from the UQ literature and a complex multi-physics model that simulates the performance of an integrated nozzle for an unmanned aerospace vehicle. We find that when the input-output response is sufficiently smooth our algorithm produces approximations that can be up to orders of magnitude more accurate than single fidelity approximations for a fixed computational budget.

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TYPE Other Report YEAR 2019
DOIOSTI

Multi-Level Memory Algorithmics for Large, Sparse Problems

Berry, Jonathan; Butcher, Neil; Catalyurek, Umit; Kogge, Peter; Lin, Paul; Olivier, Stephen L.; Phillips, Cynthia A.; Rajamanickam, Sivasankaran; Slota, George M.; Voskuilen, Gwendolyn R.; Yasar, Abdurrahman; Young, Jeffrey S.

In this report, we abstract eleven papers published during the project and describe preliminary unpublished results that warrant follow-up work. The topic is multi-level memory algorithmics, or how to effectively use multiple layers of main memory. Modern compute nodes all have this feature in some form.

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TYPE SAND Report YEAR 2019
DOIOSTI

Sandia National Laboratories (FY19 Progress Report)

Aguirre, Brandon A.; Martin, William J.; Neville, Steven M.

The Energetic Neutrons campaign led by Sandia National Laboratories (SNL) had a successful year testing electronic devices under 14 MeV neutron irradiation at OMEGA. During FY19 SNL employees were trained to take over new responsibilities while visiting LLE, continued collaborating with external organizations and generated knowledge that supports SNL's National Security mission.

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TYPE Other Report YEAR 2019
DOIOSTI

Fast and Robust Linear Solvers based on Hierarchical Matrices (LDRD Final Report)

Boman, Erik G.; Darve, Eric; Lehoucq, Rich; Rajamanickam, Sivasankaran; Tuminaro, Raymond S.; Yamazaki, Ichitaro

This report is the final report for the LDRD project "Fast and Robust Linear Solvers using Hierarchical Matrices". The project was a success. We developed two novel algorithms for solving sparse linear systems. We demonstrated their effectiveness on ill-conditioned linear systems from ice sheet simulations. We showed that in many cases, we can obtain near-linear scaling. We believe this approach has strong potential for difficult linear systems and should be considered for other Sandia and DOE applications. We also report on some related research activities in dense solvers and randomized linear algebra.

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TYPE Other Report YEAR 2019
DOIOSTI

Red Storm Case Study

Foulk, James W.

Sandia and Cray Inc. co-developed Red Storm, a distributed memory, massively paralleled highperformance supercomputer modeled on ASCI Redl, to run computer codes used for conducting materials science simulations for national security. Supercomputers have some of the fastest highperformance systems available and are used primarily for scientific and engineering work requiring exceedingly high-speed computations. Unlike conventional computers, supercomputers have large storage capacity; more than one central processing unit to rapidly retrieve stored data and program instructions; and input/output capability.

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TYPE Other Report YEAR 2019
DOIOSTI

Fine-Grained Analysis of Communication Similarity between Real and Proxy Applications

Proceedings of PMBS 2019: Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems - Held in conjunction with SC 2019: The International Conference for High Performance Computing, Networking, Storage and Analysis

Aaziz, Omar R.; Vaughan, Courtenay T.; Cook, Jonathan; Cook, Jeanine; Kuehn, Jeffery; Richards, David

In this work we investigate the dynamic communication behavior of parent and proxy applications, and investigate whether or not the dynamic communication behavior of the proxy matches that of its respective parent application. The idea of proxy applications is that they should match their parent well, and should exercise the hardware and perform similarly, so that from them lessons can be learned about how the HPC system and the application can best be utilized. We show here that some proxy/parent pairs do not need the extra detail of dynamic behavior analysis, while others can benefit from it, and through this we also identified a parent/proxy mismatch and improved the proxy application.

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TYPE Conference Poster YEAR 2019
OSTIScopus
Results 19801–19900 of 99,299
Results 19801–19900 of 99,299