Matches in SemOpenAlex for { <https://semopenalex.org/work/W3192207917> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W3192207917 abstract "Internet of Things (IoT) is a way to communicate with the real world without much human involvement. It is booming in today's computing world, with billions of devices having sensors and actuators connected to the internet using various low power technologies. Despite several profits, it experiences multiple security threats that impel catastrophic crashes in the IEEE 802.15.4e (6TiSCH) network. Various threats like jamming attacks, DDoS, abnormal behavior, etc., are detected using multiple Machine Learning (ML) and Deep Learning (DL) approaches. In this paper, an edge-based ML enables Intrusion Detection Systems (IDS) is proposed to detect distributed denial-of-service (DDoS) attack patterns from a particular source. Experimental outcomes confirm that the proposed approach is scalable and efficient in terms of computation and storage. Hence, the intended approach gives a faster response as (24.2- 68.9) Sec. The average memory utilization (ROM/RAM), energy usage, and accuracy achieved by our intended solution are 35834B/5378B, 85916mJ, 98.7%, respectively, which outperform closely related work." @default.
- W3192207917 created "2021-08-16" @default.
- W3192207917 creator A5006749190 @default.
- W3192207917 creator A5052215348 @default.
- W3192207917 creator A5078745925 @default.
- W3192207917 date "2021-06-28" @default.
- W3192207917 modified "2023-09-26" @default.
- W3192207917 title "ML for IEEE 802.15. 4e/TSCH: Energy Efficient Approach to Detect DDoS Attack Using Machine Learning" @default.
- W3192207917 cites W1565618983 @default.
- W3192207917 cites W179179905 @default.
- W3192207917 cites W2125027820 @default.
- W3192207917 cites W2468197028 @default.
- W3192207917 cites W2548333711 @default.
- W3192207917 cites W2619090748 @default.
- W3192207917 cites W2783146946 @default.
- W3192207917 cites W2785349102 @default.
- W3192207917 cites W2802252153 @default.
- W3192207917 cites W2963197901 @default.
- W3192207917 cites W2967401334 @default.
- W3192207917 cites W2993263385 @default.
- W3192207917 cites W3011397798 @default.
- W3192207917 cites W3015471529 @default.
- W3192207917 cites W3024476475 @default.
- W3192207917 cites W3035366542 @default.
- W3192207917 cites W3036144449 @default.
- W3192207917 doi "https://doi.org/10.1109/iwcmc51323.2021.9498637" @default.
- W3192207917 hasPublicationYear "2021" @default.
- W3192207917 type Work @default.
- W3192207917 sameAs 3192207917 @default.
- W3192207917 citedByCount "3" @default.
- W3192207917 countsByYear W31922079172022 @default.
- W3192207917 countsByYear W31922079172023 @default.
- W3192207917 crossrefType "proceedings-article" @default.
- W3192207917 hasAuthorship W3192207917A5006749190 @default.
- W3192207917 hasAuthorship W3192207917A5052215348 @default.
- W3192207917 hasAuthorship W3192207917A5078745925 @default.
- W3192207917 hasConcept C110875604 @default.
- W3192207917 hasConcept C111919701 @default.
- W3192207917 hasConcept C138236772 @default.
- W3192207917 hasConcept C154945302 @default.
- W3192207917 hasConcept C24590314 @default.
- W3192207917 hasConcept C2778456923 @default.
- W3192207917 hasConcept C2780407094 @default.
- W3192207917 hasConcept C31258907 @default.
- W3192207917 hasConcept C35525427 @default.
- W3192207917 hasConcept C38652104 @default.
- W3192207917 hasConcept C38822068 @default.
- W3192207917 hasConcept C41008148 @default.
- W3192207917 hasConcept C48044578 @default.
- W3192207917 hasConcept C79974875 @default.
- W3192207917 hasConcept C81860439 @default.
- W3192207917 hasConceptScore W3192207917C110875604 @default.
- W3192207917 hasConceptScore W3192207917C111919701 @default.
- W3192207917 hasConceptScore W3192207917C138236772 @default.
- W3192207917 hasConceptScore W3192207917C154945302 @default.
- W3192207917 hasConceptScore W3192207917C24590314 @default.
- W3192207917 hasConceptScore W3192207917C2778456923 @default.
- W3192207917 hasConceptScore W3192207917C2780407094 @default.
- W3192207917 hasConceptScore W3192207917C31258907 @default.
- W3192207917 hasConceptScore W3192207917C35525427 @default.
- W3192207917 hasConceptScore W3192207917C38652104 @default.
- W3192207917 hasConceptScore W3192207917C38822068 @default.
- W3192207917 hasConceptScore W3192207917C41008148 @default.
- W3192207917 hasConceptScore W3192207917C48044578 @default.
- W3192207917 hasConceptScore W3192207917C79974875 @default.
- W3192207917 hasConceptScore W3192207917C81860439 @default.
- W3192207917 hasLocation W31922079171 @default.
- W3192207917 hasOpenAccess W3192207917 @default.
- W3192207917 hasPrimaryLocation W31922079171 @default.
- W3192207917 hasRelatedWork W11209036 @default.
- W3192207917 hasRelatedWork W13198473 @default.
- W3192207917 hasRelatedWork W13439346 @default.
- W3192207917 hasRelatedWork W3127276 @default.
- W3192207917 hasRelatedWork W4192877 @default.
- W3192207917 hasRelatedWork W4309797 @default.
- W3192207917 hasRelatedWork W5297818 @default.
- W3192207917 hasRelatedWork W7862181 @default.
- W3192207917 hasRelatedWork W8244812 @default.
- W3192207917 hasRelatedWork W13165632 @default.
- W3192207917 isParatext "false" @default.
- W3192207917 isRetracted "false" @default.
- W3192207917 magId "3192207917" @default.
- W3192207917 workType "article" @default.