FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313451572> ?p ?o ?g. }

• W4313451572 abstract "Though several deep learning (DL) detectors have been proposed for the network attack detection and achieved high accuracy, they are computationally expensive and struggle to satisfy the real-time detection for high-speed networks. Recently, programmable switches exhibit a remarkable throughput efficiency on production networks, indicating a possible deployment of the timely detector. Therefore, we present Soter, a DL enhanced in-network framework for the accurate real-time detection. Soter consists of two phases. One is filtering packets by a rule-based decision tree running on the Tofino ASIC. The other is executing a well-designed lightweight neural network for the thorough inspection of the suspicious packets on the CPU. Experiments on the commodity switch demonstrate that Soter behaves stably in ten network scenarios of different traffic rates and fulfills per-flow detection in 0.03s. Moreover, Soter naturally adapts to the distributed deployment among multiple switches, guaranteeing a higher total throughput for large data centers and cloud networks." @default.
• W4313451572 created "2023-01-06" @default.
• W4313451572 creator A5029661830 @default.
• W4313451572 creator A5033421780 @default.
• W4313451572 creator A5038915198 @default.
• W4313451572 creator A5039587539 @default.
• W4313451572 creator A5042947805 @default.
• W4313451572 creator A5053780153 @default.
• W4313451572 creator A5054113563 @default.
• W4313451572 creator A5070228879 @default.
• W4313451572 creator A5078895699 @default.
• W4313451572 date "2022-09-01" @default.
• W4313451572 modified "2023-09-29" @default.
• W4313451572 title "Soter: Deep Learning Enhanced In-Network Attack Detection Based on Programmable Switches" @default.
• W4313451572 cites W1523493493 @default.
• W4313451572 cites W1993284846 @default.
• W4313451572 cites W1994926493 @default.
• W4313451572 cites W2062832101 @default.
• W4313451572 cites W2087016914 @default.
• W4313451572 cites W2099657323 @default.
• W4313451572 cites W2167101736 @default.
• W4313451572 cites W2168595508 @default.
• W4313451572 cites W2296509296 @default.
• W4313451572 cites W2334853001 @default.
• W4313451572 cites W2606697812 @default.
• W4313451572 cites W2729006349 @default.
• W4313451572 cites W2743678626 @default.
• W4313451572 cites W2750674396 @default.
• W4313451572 cites W2768211408 @default.
• W4313451572 cites W2883778034 @default.
• W4313451572 cites W2883780447 @default.
• W4313451572 cites W2886020981 @default.
• W4313451572 cites W2947802941 @default.
• W4313451572 cites W2963163009 @default.
• W4313451572 cites W2963516518 @default.
• W4313451572 cites W2975370684 @default.
• W4313451572 cites W2982083293 @default.
• W4313451572 cites W2982514609 @default.
• W4313451572 cites W2983123278 @default.
• W4313451572 cites W3029652632 @default.
• W4313451572 cites W3100529623 @default.
• W4313451572 cites W3112746081 @default.
• W4313451572 cites W3119456934 @default.
• W4313451572 cites W3136284412 @default.
• W4313451572 cites W3153512259 @default.
• W4313451572 cites W3172099698 @default.
• W4313451572 cites W3174009192 @default.
• W4313451572 cites W3189425713 @default.
• W4313451572 cites W3193293525 @default.
• W4313451572 cites W4283207618 @default.
• W4313451572 cites W2171845046 @default.
• W4313451572 doi "https://doi.org/10.1109/srds55811.2022.00029" @default.
• W4313451572 hasPublicationYear "2022" @default.
• W4313451572 type Work @default.
• W4313451572 citedByCount "1" @default.
• W4313451572 countsByYear W43134515722023 @default.
• W4313451572 crossrefType "proceedings-article" @default.
• W4313451572 hasAuthorship W4313451572A5029661830 @default.
• W4313451572 hasAuthorship W4313451572A5033421780 @default.
• W4313451572 hasAuthorship W4313451572A5038915198 @default.
• W4313451572 hasAuthorship W4313451572A5039587539 @default.
• W4313451572 hasAuthorship W4313451572A5042947805 @default.
• W4313451572 hasAuthorship W4313451572A5053780153 @default.
• W4313451572 hasAuthorship W4313451572A5054113563 @default.
• W4313451572 hasAuthorship W4313451572A5070228879 @default.
• W4313451572 hasAuthorship W4313451572A5078895699 @default.
• W4313451572 hasConcept C105339364 @default.
• W4313451572 hasConcept C108583219 @default.
• W4313451572 hasConcept C111919701 @default.
• W4313451572 hasConcept C113174947 @default.
• W4313451572 hasConcept C134306372 @default.
• W4313451572 hasConcept C149635348 @default.
• W4313451572 hasConcept C154945302 @default.
• W4313451572 hasConcept C157764524 @default.
• W4313451572 hasConcept C158379750 @default.
• W4313451572 hasConcept C31258907 @default.
• W4313451572 hasConcept C33923547 @default.
• W4313451572 hasConcept C41008148 @default.
• W4313451572 hasConcept C555944384 @default.
• W4313451572 hasConcept C76155785 @default.
• W4313451572 hasConcept C77390884 @default.
• W4313451572 hasConcept C79403827 @default.
• W4313451572 hasConcept C94915269 @default.
• W4313451572 hasConceptScore W4313451572C105339364 @default.
• W4313451572 hasConceptScore W4313451572C108583219 @default.
• W4313451572 hasConceptScore W4313451572C111919701 @default.
• W4313451572 hasConceptScore W4313451572C113174947 @default.
• W4313451572 hasConceptScore W4313451572C134306372 @default.
• W4313451572 hasConceptScore W4313451572C149635348 @default.
• W4313451572 hasConceptScore W4313451572C154945302 @default.
• W4313451572 hasConceptScore W4313451572C157764524 @default.
• W4313451572 hasConceptScore W4313451572C158379750 @default.
• W4313451572 hasConceptScore W4313451572C31258907 @default.
• W4313451572 hasConceptScore W4313451572C33923547 @default.
• W4313451572 hasConceptScore W4313451572C41008148 @default.
• W4313451572 hasConceptScore W4313451572C555944384 @default.
• W4313451572 hasConceptScore W4313451572C76155785 @default.
• W4313451572 hasConceptScore W4313451572C77390884 @default.
• W4313451572 hasConceptScore W4313451572C79403827 @default.
• W4313451572 hasConceptScore W4313451572C94915269 @default.

• next