FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387397194> ?p ?o ?g. }

• W4387397194 endingPage "200" @default.
• W4387397194 startingPage "177" @default.
• W4387397194 abstract "The deployment of Internet-of-Things (IoT) devices in cyber-physical applications has introduced a new set of vulnerabilities. These security and reliability challenges require a holistic solution due to the cross-domain, cross-layer, and interdisciplinary nature of IoT systems. However, most works presented in the literature primarily focus on the cyber aspect, including the network and application layers, and the physical layer is overlooked. In this chapter, we utilize IoT sensors that capture the physical properties of the system to ensure the integrity of IoT sensor data and identify anomalous incidents in the environment. We propose an adaptive context-aware anomaly detection method optimized for fog computing. In this approach (Yasaei et al., IoT-CAD: context-aware adaptive anomaly detection in IoT systems through sensor association. In: 2020 IEEE/ACM International Conference on Computer Aided Design (ICCAD), pp. 1–9. IEEE, Piscataway (2020)) (Copyright Ⓒ2020 IEEE), we devise a novel sensor association algorithm that generates fingerprints of sensors, clusters them, and extracts the context of the system. Based on the contextual information, our predictor model, which comprises a long short-term memory (LSTM) neural network and Gaussian estimator, detects anomalies, and a consensus algorithm identifies the anomaly source. Furthermore, our model updates itself to adapt to the variation in the environment and system. The results demonstrate that our model detects the anomaly with 92.0% precision in 532ms, which meets the real-time constraint of the system under test." @default.
• W4387397194 created "2023-10-07" @default.
• W4387397194 creator A5021974773 @default.
• W4387397194 creator A5055814180 @default.
• W4387397194 date "2023-10-07" @default.
• W4387397194 modified "2023-10-07" @default.
• W4387397194 title "Context-Aware Adaptive Anomaly Detection in IoT Systems" @default.
• W4387397194 cites W1748529420 @default.
• W4387397194 cites W1976262362 @default.
• W4387397194 cites W1977366836 @default.
• W4387397194 cites W1988037376 @default.
• W4387397194 cites W2019014808 @default.
• W4387397194 cites W2031481606 @default.
• W4387397194 cites W2064675550 @default.
• W4387397194 cites W2075095478 @default.
• W4387397194 cites W2108403445 @default.
• W4387397194 cites W2122883649 @default.
• W4387397194 cites W2128159601 @default.
• W4387397194 cites W2144182447 @default.
• W4387397194 cites W2186910770 @default.
• W4387397194 cites W2241984682 @default.
• W4387397194 cites W2278905624 @default.
• W4387397194 cites W2498302240 @default.
• W4387397194 cites W2518327368 @default.
• W4387397194 cites W2530823456 @default.
• W4387397194 cites W2546859217 @default.
• W4387397194 cites W2573587735 @default.
• W4387397194 cites W2573675698 @default.
• W4387397194 cites W2613328025 @default.
• W4387397194 cites W2613331518 @default.
• W4387397194 cites W2620678361 @default.
• W4387397194 cites W2741097030 @default.
• W4387397194 cites W2753526808 @default.
• W4387397194 cites W2764129961 @default.
• W4387397194 cites W2772592650 @default.
• W4387397194 cites W2775717462 @default.
• W4387397194 cites W2794756467 @default.
• W4387397194 cites W2932448337 @default.
• W4387397194 cites W2947004451 @default.
• W4387397194 cites W3004207920 @default.
• W4387397194 cites W3104092367 @default.
• W4387397194 cites W3112352665 @default.
• W4387397194 cites W4252562827 @default.
• W4387397194 doi "https://doi.org/10.1007/978-3-031-40677-5_8" @default.
• W4387397194 hasPublicationYear "2023" @default.
• W4387397194 type Work @default.
• W4387397194 citedByCount "0" @default.
• W4387397194 crossrefType "book-chapter" @default.
• W4387397194 hasAuthorship W4387397194A5021974773 @default.
• W4387397194 hasAuthorship W4387397194A5055814180 @default.
• W4387397194 hasConcept C105339364 @default.
• W4387397194 hasConcept C111919701 @default.
• W4387397194 hasConcept C120314980 @default.
• W4387397194 hasConcept C124101348 @default.
• W4387397194 hasConcept C151730666 @default.
• W4387397194 hasConcept C179768478 @default.
• W4387397194 hasConcept C24590314 @default.
• W4387397194 hasConcept C2779343474 @default.
• W4387397194 hasConcept C31258907 @default.
• W4387397194 hasConcept C41008148 @default.
• W4387397194 hasConcept C739882 @default.
• W4387397194 hasConcept C79403827 @default.
• W4387397194 hasConcept C86803240 @default.
• W4387397194 hasConceptScore W4387397194C105339364 @default.
• W4387397194 hasConceptScore W4387397194C111919701 @default.
• W4387397194 hasConceptScore W4387397194C120314980 @default.
• W4387397194 hasConceptScore W4387397194C124101348 @default.
• W4387397194 hasConceptScore W4387397194C151730666 @default.
• W4387397194 hasConceptScore W4387397194C179768478 @default.
• W4387397194 hasConceptScore W4387397194C24590314 @default.
• W4387397194 hasConceptScore W4387397194C2779343474 @default.
• W4387397194 hasConceptScore W4387397194C31258907 @default.
• W4387397194 hasConceptScore W4387397194C41008148 @default.
• W4387397194 hasConceptScore W4387397194C739882 @default.
• W4387397194 hasConceptScore W4387397194C79403827 @default.
• W4387397194 hasConceptScore W4387397194C86803240 @default.
• W4387397194 hasLocation W43873971941 @default.
• W4387397194 hasOpenAccess W4387397194 @default.
• W4387397194 hasPrimaryLocation W43873971941 @default.
• W4387397194 hasRelatedWork W1607147593 @default.
• W4387397194 hasRelatedWork W2369811061 @default.
• W4387397194 hasRelatedWork W2566006169 @default.
• W4387397194 hasRelatedWork W2770234245 @default.
• W4387397194 hasRelatedWork W2987774938 @default.
• W4387397194 hasRelatedWork W3089997100 @default.
• W4387397194 hasRelatedWork W4229499248 @default.
• W4387397194 hasRelatedWork W4378874356 @default.
• W4387397194 hasRelatedWork W620798607 @default.
• W4387397194 hasRelatedWork W632915154 @default.
• W4387397194 isParatext "false" @default.
• W4387397194 isRetracted "false" @default.
• W4387397194 workType "book-chapter" @default.