About: FPGA Accelerated Change-Point Detection Method for 100Gb/s Networks

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: FPGA Accelerated Change-Point Detection Method for 100Gb/s Networks Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	The aim of this paper is a hardware realization of a statistical anomaly detection method as a part of high-speed monitoring probe for computer networks. The sequential Non-Parametric Cumulative Sum (NP-CUSUM) procedure is the detection method of our choice and we use an FPGA based accelerator card as the target platform. For rapid detection algorithm development, a high-level synthesis (HLS) approach is applied. Furthermore, we combine HLS with the usage of Software Defined Monitoring (SDM) framework on the monitoring probe, which enables easy deployment of various hardware-accelerated monitoring applications into high-speed networks. Our implementation of NP-CUSUM algorithm serves as hardware plug-in for SDM and realizes the detection of network attacks and anomalies directly in FPGA. Additionally, the parallel nature of the FPGA technology allows us to realize multiple different detections simultaneously without any losses in throughput. Our experimental results show the feasibility of HLS and SDM combination for effective realization of traffic analysis and anomaly detection in networks with speeds up to 100 Gb/s. The aim of this paper is a hardware realization of a statistical anomaly detection method as a part of high-speed monitoring probe for computer networks. The sequential Non-Parametric Cumulative Sum (NP-CUSUM) procedure is the detection method of our choice and we use an FPGA based accelerator card as the target platform. For rapid detection algorithm development, a high-level synthesis (HLS) approach is applied. Furthermore, we combine HLS with the usage of Software Defined Monitoring (SDM) framework on the monitoring probe, which enables easy deployment of various hardware-accelerated monitoring applications into high-speed networks. Our implementation of NP-CUSUM algorithm serves as hardware plug-in for SDM and realizes the detection of network attacks and anomalies directly in FPGA. Additionally, the parallel nature of the FPGA technology allows us to realize multiple different detections simultaneously without any losses in throughput. Our experimental results show the feasibility of HLS and SDM combination for effective realization of traffic analysis and anomaly detection in networks with speeds up to 100 Gb/s. (en)
Title	FPGA Accelerated Change-Point Detection Method for 100Gb/s Networks FPGA Accelerated Change-Point Detection Method for 100Gb/s Networks (en)
skos:prefLabel	FPGA Accelerated Change-Point Detection Method for 100Gb/s Networks FPGA Accelerated Change-Point Detection Method for 100Gb/s Networks (en)
skos:notation	RIV/63839172:_____/14:10130397!RIV15-MSM-63839172
http://linked.open...avai/riv/aktivita	P V
http://linked.open...avai/riv/aktivity	P(LM2010005), V
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Kekely, Lukáš Čejka, Tomáš
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	CESNET - zájmové sdružení právnických osob
http://linked.open...dnocenehoVysledku	17379
http://linked.open...ai/riv/idVysledku	RIV/63839172:_____/14:10130397
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	NP-CUSUM; high-level synthesis; anomaly detection; Software Defined Monitoring; FPGA (en)
http://linked.open.../riv/klicoveSlovo	Software Defined Monitoring FPGA NP-CUSUM anomaly detection high-level synthesis
http://linked.open...ontrolniKodProRIV	[A32CED3AB4D7]
http://linked.open...v/mistoKonaniAkce	Telč, Czech Republic
http://linked.open...i/riv/mistoVydani	Brno
http://linked.open...i/riv/nazevZdroje	MEMICS proceedings 2014
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	Large Infrastructure CESNET
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Čejka, Tomáš Kubátová, Hana Benáček, Pavel Kekely, Lukáš Blažek, Rudolf B.
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-17 (xsd:date)
number of pages	12 (xsd:int)
http://purl.org/ne...btex#hasPublisher	NOVPRESS
https://schema.org/isbn	978-80-214-5022-6

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 100 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software