Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220792068> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W4220792068 abstract "The Internet of Things (IoT) is one of the most widely used technologies today, and it has a significant effect on our lives in a variety of ways, including social, commercial, and economic aspects. In terms of automation, productivity, and comfort for consumers across a wide range of application areas, from education to smart cities, the present and future IoT technologies hold great promise for improving the overall quality of human life. However, cyber-attacks and threats greatly affect smart applications in the environment of IoT. The traditional IoT security techniques are insufficient with the recent security challenges considering the advanced booming of different kinds of attacks and threats. Utilizing artificial intelligence (AI) expertise, especially machine and deep learning solutions, is the key to delivering a dynamically enhanced and up-to-date security system for the next-generation IoT system. Throughout this article, we present a comprehensive picture on IoT security intelligence, which is built on machine and deep learning technologies that extract insights from raw data to intelligently protect IoT devices against a variety of cyber-attacks. Finally, based on our study, we highlight the associated research issues and future directions within the scope of our study. Overall, this article aspires to serve as a reference point and guide, particularly from a technical standpoint, for cybersecurity experts and researchers working in the context of IoT." @default.
- W4220792068 created "2022-04-03" @default.
- W4220792068 creator A5006470339 @default.
- W4220792068 creator A5055312229 @default.
- W4220792068 creator A5061698786 @default.
- W4220792068 creator A5062000051 @default.
- W4220792068 date "2022-03-07" @default.
- W4220792068 modified "2023-10-16" @default.
- W4220792068 title "Internet of Things (IoT) Security Intelligence: A Comprehensive Overview, Machine Learning Solutions and Research Directions" @default.
- W4220792068 doi "https://doi.org/10.20944/preprints202203.0087.v1" @default.
- W4220792068 hasPublicationYear "2022" @default.
- W4220792068 type Work @default.
- W4220792068 citedByCount "1" @default.
- W4220792068 crossrefType "posted-content" @default.
- W4220792068 hasAuthorship W4220792068A5006470339 @default.
- W4220792068 hasAuthorship W4220792068A5055312229 @default.
- W4220792068 hasAuthorship W4220792068A5061698786 @default.
- W4220792068 hasAuthorship W4220792068A5062000051 @default.
- W4220792068 hasBestOaLocation W42207920681 @default.
- W4220792068 hasConcept C115901376 @default.
- W4220792068 hasConcept C127413603 @default.
- W4220792068 hasConcept C136197465 @default.
- W4220792068 hasConcept C151730666 @default.
- W4220792068 hasConcept C154945302 @default.
- W4220792068 hasConcept C199360897 @default.
- W4220792068 hasConcept C2522767166 @default.
- W4220792068 hasConcept C2778012447 @default.
- W4220792068 hasConcept C2779343474 @default.
- W4220792068 hasConcept C38652104 @default.
- W4220792068 hasConcept C41008148 @default.
- W4220792068 hasConcept C78519656 @default.
- W4220792068 hasConcept C81860439 @default.
- W4220792068 hasConcept C86803240 @default.
- W4220792068 hasConceptScore W4220792068C115901376 @default.
- W4220792068 hasConceptScore W4220792068C127413603 @default.
- W4220792068 hasConceptScore W4220792068C136197465 @default.
- W4220792068 hasConceptScore W4220792068C151730666 @default.
- W4220792068 hasConceptScore W4220792068C154945302 @default.
- W4220792068 hasConceptScore W4220792068C199360897 @default.
- W4220792068 hasConceptScore W4220792068C2522767166 @default.
- W4220792068 hasConceptScore W4220792068C2778012447 @default.
- W4220792068 hasConceptScore W4220792068C2779343474 @default.
- W4220792068 hasConceptScore W4220792068C38652104 @default.
- W4220792068 hasConceptScore W4220792068C41008148 @default.
- W4220792068 hasConceptScore W4220792068C78519656 @default.
- W4220792068 hasConceptScore W4220792068C81860439 @default.
- W4220792068 hasConceptScore W4220792068C86803240 @default.
- W4220792068 hasLocation W42207920681 @default.
- W4220792068 hasOpenAccess W4220792068 @default.
- W4220792068 hasPrimaryLocation W42207920681 @default.
- W4220792068 hasRelatedWork W2009596306 @default.
- W4220792068 hasRelatedWork W2072316989 @default.
- W4220792068 hasRelatedWork W2271171772 @default.
- W4220792068 hasRelatedWork W2751166006 @default.
- W4220792068 hasRelatedWork W2775965274 @default.
- W4220792068 hasRelatedWork W2793486337 @default.
- W4220792068 hasRelatedWork W2807530277 @default.
- W4220792068 hasRelatedWork W2890076801 @default.
- W4220792068 hasRelatedWork W3014342721 @default.
- W4220792068 hasRelatedWork W4245322187 @default.
- W4220792068 isParatext "false" @default.
- W4220792068 isRetracted "false" @default.
- W4220792068 workType "article" @default.