Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783844319> ?p ?o ?g. }
- W2783844319 endingPage "873" @default.
- W2783844319 startingPage "864" @default.
- W2783844319 abstract "Rapid popularity of Internet of Things (IoT) and cloud computing permits neuroscientists to collect multilevel and multichannel brain data to better understand brain functions, diagnose diseases, and devise treatments. To ensure secure and reliable data communication between end-to-end (E2E) devices supported by current IoT and cloud infrastructure, trust management is needed at the IoT and user ends. This paper introduces a Neuro-Fuzzy based Brain-inspired trust management model (TMM) to secure IoT devices and relay nodes, and to ensure data reliability. The proposed TMM utilizes node behavioral trust and data trust estimated using Adaptive Neuro-Fuzzy Inference System and weighted-additive methods respectively to assess the nodes trustworthiness. In contrast to the existing fuzzy based TMMs, the NS2 simulation results confirm the robustness and accuracy of the proposed TMM in identifying malicious nodes in the communication network. With the growing usage of cloud based IoT frameworks in Neuroscience research, integrating the proposed TMM into the existing infrastructure will assure secure and reliable data communication among the E2E devices." @default.
- W2783844319 created "2018-01-26" @default.
- W2783844319 creator A5024806597 @default.
- W2783844319 creator A5027525633 @default.
- W2783844319 creator A5057247142 @default.
- W2783844319 creator A5062211930 @default.
- W2783844319 creator A5073639479 @default.
- W2783844319 creator A5076670747 @default.
- W2783844319 creator A5084130125 @default.
- W2783844319 date "2018-04-02" @default.
- W2783844319 modified "2023-10-17" @default.
- W2783844319 title "A Brain-Inspired Trust Management Model to Assure Security in a Cloud Based IoT Framework for Neuroscience Applications" @default.
- W2783844319 cites W1666219330 @default.
- W2783844319 cites W1911304918 @default.
- W2783844319 cites W1969331628 @default.
- W2783844319 cites W1974875364 @default.
- W2783844319 cites W1994181387 @default.
- W2783844319 cites W1997404295 @default.
- W2783844319 cites W2003167758 @default.
- W2783844319 cites W2003783803 @default.
- W2783844319 cites W2019342351 @default.
- W2783844319 cites W2023116290 @default.
- W2783844319 cites W2028282576 @default.
- W2783844319 cites W2040247349 @default.
- W2783844319 cites W2043585968 @default.
- W2783844319 cites W2050795073 @default.
- W2783844319 cites W2063459819 @default.
- W2783844319 cites W2064754122 @default.
- W2783844319 cites W2074709832 @default.
- W2783844319 cites W2078749705 @default.
- W2783844319 cites W2079325629 @default.
- W2783844319 cites W2081478993 @default.
- W2783844319 cites W2082778186 @default.
- W2783844319 cites W2089168009 @default.
- W2783844319 cites W2097726984 @default.
- W2783844319 cites W2149140091 @default.
- W2783844319 cites W2150388325 @default.
- W2783844319 cites W2156652448 @default.
- W2783844319 cites W2166735950 @default.
- W2783844319 cites W2241366982 @default.
- W2783844319 cites W2295104755 @default.
- W2783844319 cites W2305399950 @default.
- W2783844319 cites W2310038796 @default.
- W2783844319 cites W2339249514 @default.
- W2783844319 cites W2402159036 @default.
- W2783844319 cites W2415522550 @default.
- W2783844319 cites W2463498234 @default.
- W2783844319 cites W2525221147 @default.
- W2783844319 cites W2547275900 @default.
- W2783844319 cites W2558567452 @default.
- W2783844319 cites W2576210873 @default.
- W2783844319 cites W2582793465 @default.
- W2783844319 cites W2598007549 @default.
- W2783844319 cites W2729240538 @default.
- W2783844319 cites W2754928661 @default.
- W2783844319 cites W2768956845 @default.
- W2783844319 cites W2962887088 @default.
- W2783844319 cites W4301340643 @default.
- W2783844319 cites W813991061 @default.
- W2783844319 doi "https://doi.org/10.1007/s12559-018-9543-3" @default.
- W2783844319 hasPublicationYear "2018" @default.
- W2783844319 type Work @default.
- W2783844319 sameAs 2783844319 @default.
- W2783844319 citedByCount "127" @default.
- W2783844319 countsByYear W27838443192018 @default.
- W2783844319 countsByYear W27838443192019 @default.
- W2783844319 countsByYear W27838443192020 @default.
- W2783844319 countsByYear W27838443192021 @default.
- W2783844319 countsByYear W27838443192022 @default.
- W2783844319 countsByYear W27838443192023 @default.
- W2783844319 crossrefType "journal-article" @default.
- W2783844319 hasAuthorship W2783844319A5024806597 @default.
- W2783844319 hasAuthorship W2783844319A5027525633 @default.
- W2783844319 hasAuthorship W2783844319A5057247142 @default.
- W2783844319 hasAuthorship W2783844319A5062211930 @default.
- W2783844319 hasAuthorship W2783844319A5073639479 @default.
- W2783844319 hasAuthorship W2783844319A5076670747 @default.
- W2783844319 hasAuthorship W2783844319A5084130125 @default.
- W2783844319 hasBestOaLocation W27838443192 @default.
- W2783844319 hasConcept C104317684 @default.
- W2783844319 hasConcept C111919701 @default.
- W2783844319 hasConcept C120314980 @default.
- W2783844319 hasConcept C121332964 @default.
- W2783844319 hasConcept C127413603 @default.
- W2783844319 hasConcept C154945302 @default.
- W2783844319 hasConcept C163258240 @default.
- W2783844319 hasConcept C185592680 @default.
- W2783844319 hasConcept C186108316 @default.
- W2783844319 hasConcept C195975749 @default.
- W2783844319 hasConcept C2776384856 @default.
- W2783844319 hasConcept C2778156585 @default.
- W2783844319 hasConcept C31258907 @default.
- W2783844319 hasConcept C38652104 @default.
- W2783844319 hasConcept C41008148 @default.
- W2783844319 hasConcept C55493867 @default.
- W2783844319 hasConcept C58166 @default.
- W2783844319 hasConcept C62520636 @default.
- W2783844319 hasConcept C62611344 @default.