Matches in SemOpenAlex for { <https://semopenalex.org/work/W4297242246> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4297242246 endingPage "9129" @default.
- W4297242246 startingPage "9113" @default.
- W4297242246 abstract "Attack vectors for adversaries have increased in organizations because of the growing use of less secure IoT devices. The risk of attacks on an organization's network has also increased due to the bring your own device (BYOD) policy which permits employees to bring IoT devices onto the premises and attach them to the organization's network. To tackle this threat and protect their networks, organizations generally implement security policies in which only white listed IoT devices are allowed on the organization's network. To monitor compliance with such policies, it has become essential to distinguish IoT devices permitted within an organization's network from non white listed (unknown) IoT devices. In this research, deep learning is applied to network communication for the automated identification of IoT devices permitted on the network. In contrast to existing methods, the proposed approach does not require complex feature engineering of the network communication, because the 'communication behavior' of IoT devices is represented as small images which are generated from the device's network communication payload. The proposed approach is applicable for any IoT device, regardless of the protocol used for communication. As our approach relies on the network communication payload, it is also applicable for the IoT devices behind a network address translation (NAT) enabled router. In this study, we trained various classifiers on a publicly accessible dataset to identify IoT devices in different scenarios, including the identification of known and unknown IoT devices, achieving over 99% overall average detection accuracy." @default.
- W4297242246 created "2022-09-28" @default.
- W4297242246 creator A5044304377 @default.
- W4297242246 creator A5072913672 @default.
- W4297242246 date "2022-09-26" @default.
- W4297242246 modified "2023-10-17" @default.
- W4297242246 title "IoT device identification based on network communication analysis using deep learning" @default.
- W4297242246 cites W2096118443 @default.
- W4297242246 cites W2152966228 @default.
- W4297242246 cites W2161251616 @default.
- W4297242246 cites W2292021756 @default.
- W4297242246 cites W2561342496 @default.
- W4297242246 cites W2574448563 @default.
- W4297242246 cites W2619405973 @default.
- W4297242246 cites W2621148797 @default.
- W4297242246 cites W2750674396 @default.
- W4297242246 cites W2768718335 @default.
- W4297242246 cites W2792186710 @default.
- W4297242246 cites W2888505697 @default.
- W4297242246 cites W2892077825 @default.
- W4297242246 cites W2912348842 @default.
- W4297242246 cites W2961816263 @default.
- W4297242246 cites W2980056590 @default.
- W4297242246 cites W3000627755 @default.
- W4297242246 cites W3008195334 @default.
- W4297242246 cites W3100090890 @default.
- W4297242246 cites W3103349363 @default.
- W4297242246 cites W3163387231 @default.
- W4297242246 doi "https://doi.org/10.1007/s12652-022-04415-6" @default.
- W4297242246 hasPublicationYear "2022" @default.
- W4297242246 type Work @default.
- W4297242246 citedByCount "1" @default.
- W4297242246 countsByYear W42972422462023 @default.
- W4297242246 crossrefType "journal-article" @default.
- W4297242246 hasAuthorship W4297242246A5044304377 @default.
- W4297242246 hasAuthorship W4297242246A5072913672 @default.
- W4297242246 hasBestOaLocation W42972422462 @default.
- W4297242246 hasConcept C116834253 @default.
- W4297242246 hasConcept C12269588 @default.
- W4297242246 hasConcept C134066672 @default.
- W4297242246 hasConcept C142724271 @default.
- W4297242246 hasConcept C158379750 @default.
- W4297242246 hasConcept C159631557 @default.
- W4297242246 hasConcept C192126672 @default.
- W4297242246 hasConcept C204787440 @default.
- W4297242246 hasConcept C2780385302 @default.
- W4297242246 hasConcept C31258907 @default.
- W4297242246 hasConcept C38652104 @default.
- W4297242246 hasConcept C41008148 @default.
- W4297242246 hasConcept C59822182 @default.
- W4297242246 hasConcept C71924100 @default.
- W4297242246 hasConcept C81860439 @default.
- W4297242246 hasConcept C86803240 @default.
- W4297242246 hasConceptScore W4297242246C116834253 @default.
- W4297242246 hasConceptScore W4297242246C12269588 @default.
- W4297242246 hasConceptScore W4297242246C134066672 @default.
- W4297242246 hasConceptScore W4297242246C142724271 @default.
- W4297242246 hasConceptScore W4297242246C158379750 @default.
- W4297242246 hasConceptScore W4297242246C159631557 @default.
- W4297242246 hasConceptScore W4297242246C192126672 @default.
- W4297242246 hasConceptScore W4297242246C204787440 @default.
- W4297242246 hasConceptScore W4297242246C2780385302 @default.
- W4297242246 hasConceptScore W4297242246C31258907 @default.
- W4297242246 hasConceptScore W4297242246C38652104 @default.
- W4297242246 hasConceptScore W4297242246C41008148 @default.
- W4297242246 hasConceptScore W4297242246C59822182 @default.
- W4297242246 hasConceptScore W4297242246C71924100 @default.
- W4297242246 hasConceptScore W4297242246C81860439 @default.
- W4297242246 hasConceptScore W4297242246C86803240 @default.
- W4297242246 hasFunder F4320335254 @default.
- W4297242246 hasIssue "7" @default.
- W4297242246 hasLocation W42972422461 @default.
- W4297242246 hasLocation W42972422462 @default.
- W4297242246 hasLocation W42972422463 @default.
- W4297242246 hasLocation W42972422464 @default.
- W4297242246 hasOpenAccess W4297242246 @default.
- W4297242246 hasPrimaryLocation W42972422461 @default.
- W4297242246 hasRelatedWork W1571361964 @default.
- W4297242246 hasRelatedWork W1572474022 @default.
- W4297242246 hasRelatedWork W2012970816 @default.
- W4297242246 hasRelatedWork W2296523926 @default.
- W4297242246 hasRelatedWork W2363650619 @default.
- W4297242246 hasRelatedWork W2376662816 @default.
- W4297242246 hasRelatedWork W2382850871 @default.
- W4297242246 hasRelatedWork W3001704566 @default.
- W4297242246 hasRelatedWork W306312984 @default.
- W4297242246 hasRelatedWork W1535080110 @default.
- W4297242246 hasVolume "14" @default.
- W4297242246 isParatext "false" @default.
- W4297242246 isRetracted "false" @default.
- W4297242246 workType "article" @default.