Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897906904> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2897906904 abstract "Internet of Things (IoT) devices are low-powered and network connected embeddedcomputers that collect sensor data and perform computations at the edge of anetwork. These Internet-connected devices often lack sufficient security, with theMirai botnet being the most highlighted incident to date. To detect attacks, aNetwork Intrusion Detection System (NIDS) may be used. Intrusion detection isoften performed with the costly method of pattern matching, where predefined patternsare matched against observed network traffic, requiring up to 70% of a NIDS’scomputational power.This thesis evaluates the suitability of using an embedded device with an integratedGPU as an NIDS. Direct Filter Classification, a state of the art pattern matchingalgorithm, is improved by moving part of the execution to a GPU. This implementationis then optimized, keeping the quirks of embedded systems in mind. Surprisingly,some optimizations that would intuitively result in an improved executiontime, instead increases it. Further attempts at optimizations are performed in theheterogeneous design domain where the CPU and GPU cooperate extensively.Evaluation is performed by comparing the throughput of network traffic possible toanalyze per second, and energy consumption of the algorithm in its different forms:CPU-only, GPU-only and a heterogeneous variant. These are later compared toanother state of the art pattern matching algorithm.By utilizing a GPU, the throughput was increased by more than 2× while reducingthe total energy consumption by more than 50%, compared to a CPU-only variantof DFC. The GPGPU variant of DFC was able to improve the throughput of thewidely used pattern matching algorithm Aho-Corasick by more than 50% while onlyrequiring 50% of the energy." @default.
- W2897906904 created "2018-10-26" @default.
- W2897906904 creator A5055688571 @default.
- W2897906904 date "2018-01-01" @default.
- W2897906904 modified "2023-09-26" @default.
- W2897906904 title "Network Intrusion Detection in Embedded/ IoT Devices using GPGPU - Increasing throughput while reducing power consumption with an integrated GPU" @default.
- W2897906904 hasPublicationYear "2018" @default.
- W2897906904 type Work @default.
- W2897906904 sameAs 2897906904 @default.
- W2897906904 citedByCount "0" @default.
- W2897906904 crossrefType "dissertation" @default.
- W2897906904 hasAuthorship W2897906904A5055688571 @default.
- W2897906904 hasConcept C111919701 @default.
- W2897906904 hasConcept C149635348 @default.
- W2897906904 hasConcept C154945302 @default.
- W2897906904 hasConcept C157764524 @default.
- W2897906904 hasConcept C158379750 @default.
- W2897906904 hasConcept C173608175 @default.
- W2897906904 hasConcept C18903297 @default.
- W2897906904 hasConcept C21442007 @default.
- W2897906904 hasConcept C2778119891 @default.
- W2897906904 hasConcept C2780165032 @default.
- W2897906904 hasConcept C31258907 @default.
- W2897906904 hasConcept C35525427 @default.
- W2897906904 hasConcept C41008148 @default.
- W2897906904 hasConcept C50630238 @default.
- W2897906904 hasConcept C555944384 @default.
- W2897906904 hasConcept C74366991 @default.
- W2897906904 hasConcept C79403827 @default.
- W2897906904 hasConcept C86803240 @default.
- W2897906904 hasConceptScore W2897906904C111919701 @default.
- W2897906904 hasConceptScore W2897906904C149635348 @default.
- W2897906904 hasConceptScore W2897906904C154945302 @default.
- W2897906904 hasConceptScore W2897906904C157764524 @default.
- W2897906904 hasConceptScore W2897906904C158379750 @default.
- W2897906904 hasConceptScore W2897906904C173608175 @default.
- W2897906904 hasConceptScore W2897906904C18903297 @default.
- W2897906904 hasConceptScore W2897906904C21442007 @default.
- W2897906904 hasConceptScore W2897906904C2778119891 @default.
- W2897906904 hasConceptScore W2897906904C2780165032 @default.
- W2897906904 hasConceptScore W2897906904C31258907 @default.
- W2897906904 hasConceptScore W2897906904C35525427 @default.
- W2897906904 hasConceptScore W2897906904C41008148 @default.
- W2897906904 hasConceptScore W2897906904C50630238 @default.
- W2897906904 hasConceptScore W2897906904C555944384 @default.
- W2897906904 hasConceptScore W2897906904C74366991 @default.
- W2897906904 hasConceptScore W2897906904C79403827 @default.
- W2897906904 hasConceptScore W2897906904C86803240 @default.
- W2897906904 hasLocation W28979069041 @default.
- W2897906904 hasOpenAccess W2897906904 @default.
- W2897906904 hasPrimaryLocation W28979069041 @default.
- W2897906904 hasRelatedWork W1960511147 @default.
- W2897906904 hasRelatedWork W2003601765 @default.
- W2897906904 hasRelatedWork W2015261377 @default.
- W2897906904 hasRelatedWork W2052477921 @default.
- W2897906904 hasRelatedWork W2065486090 @default.
- W2897906904 hasRelatedWork W2110153733 @default.
- W2897906904 hasRelatedWork W2114412097 @default.
- W2897906904 hasRelatedWork W2168309099 @default.
- W2897906904 hasRelatedWork W2294281138 @default.
- W2897906904 hasRelatedWork W2389357542 @default.
- W2897906904 hasRelatedWork W2514980405 @default.
- W2897906904 hasRelatedWork W2563846750 @default.
- W2897906904 hasRelatedWork W2724304603 @default.
- W2897906904 hasRelatedWork W2897225812 @default.
- W2897906904 hasRelatedWork W2988164135 @default.
- W2897906904 hasRelatedWork W3034122702 @default.
- W2897906904 hasRelatedWork W3122530521 @default.
- W2897906904 hasRelatedWork W68934955 @default.
- W2897906904 hasRelatedWork W2128214448 @default.
- W2897906904 hasRelatedWork W2189284489 @default.
- W2897906904 isParatext "false" @default.
- W2897906904 isRetracted "false" @default.
- W2897906904 magId "2897906904" @default.
- W2897906904 workType "dissertation" @default.