Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320029581> ?p ?o ?g. }
Showing items 1 to 86 of
86
with 100 items per page.
- W4320029581 abstract "In today's time, the security in IoT networks interests the scientific community. Indeed, IoT networks are confronted with numerous vulnerabilities, including denial of service, which represents a real threat. The greedy behavior attack is arguably one of the most dangerous and intelligent attacks. Its intelligence lies in the fact that the malicious node executes its attack internally by pretending to be a legitimate node and deliberately falsifying its CSMA-CA parameters. In this paper, we propose a new approach for greedy nodes detection based on an unsupervised machine learning method. In order to evaluate the effectiveness of the proposed method, and to prove the limits of this technique, several attack scenarios were carried out into cooja, and different simulation parameters were taken into account such as the number of packets sent, the energy consumption, and radio status. The detection efficiency of the proposed method is evaluated in two cases, best and worst case. In the first, the detection accuracy is equal to 88.5%, while in the worst it is equal to 86.42%." @default.
- W4320029581 created "2023-02-12" @default.
- W4320029581 creator A5022192621 @default.
- W4320029581 creator A5071383873 @default.
- W4320029581 creator A5086192057 @default.
- W4320029581 date "2022-12-04" @default.
- W4320029581 modified "2023-10-17" @default.
- W4320029581 title "The limitations of unsupervised machine learning for identifying malicious nodes in IoT networks" @default.
- W4320029581 cites W1177141398 @default.
- W4320029581 cites W1548399244 @default.
- W4320029581 cites W1971673042 @default.
- W4320029581 cites W2085647314 @default.
- W4320029581 cites W2146599819 @default.
- W4320029581 cites W2418543572 @default.
- W4320029581 cites W2535032230 @default.
- W4320029581 cites W2578192434 @default.
- W4320029581 cites W2587738856 @default.
- W4320029581 cites W2587898568 @default.
- W4320029581 cites W2774547641 @default.
- W4320029581 cites W2793076726 @default.
- W4320029581 cites W2886087493 @default.
- W4320029581 cites W2908324607 @default.
- W4320029581 cites W2951694401 @default.
- W4320029581 cites W2969769992 @default.
- W4320029581 cites W3000279467 @default.
- W4320029581 cites W3196037479 @default.
- W4320029581 cites W3211268815 @default.
- W4320029581 cites W4210811608 @default.
- W4320029581 doi "https://doi.org/10.1109/globecom48099.2022.10001314" @default.
- W4320029581 hasPublicationYear "2022" @default.
- W4320029581 type Work @default.
- W4320029581 citedByCount "0" @default.
- W4320029581 crossrefType "proceedings-article" @default.
- W4320029581 hasAuthorship W4320029581A5022192621 @default.
- W4320029581 hasAuthorship W4320029581A5071383873 @default.
- W4320029581 hasAuthorship W4320029581A5086192057 @default.
- W4320029581 hasConcept C110875604 @default.
- W4320029581 hasConcept C119857082 @default.
- W4320029581 hasConcept C120314980 @default.
- W4320029581 hasConcept C127413603 @default.
- W4320029581 hasConcept C136764020 @default.
- W4320029581 hasConcept C154945302 @default.
- W4320029581 hasConcept C158379750 @default.
- W4320029581 hasConcept C18903297 @default.
- W4320029581 hasConcept C2780165032 @default.
- W4320029581 hasConcept C31258907 @default.
- W4320029581 hasConcept C38652104 @default.
- W4320029581 hasConcept C38822068 @default.
- W4320029581 hasConcept C41008148 @default.
- W4320029581 hasConcept C62611344 @default.
- W4320029581 hasConcept C66938386 @default.
- W4320029581 hasConcept C81860439 @default.
- W4320029581 hasConcept C86803240 @default.
- W4320029581 hasConceptScore W4320029581C110875604 @default.
- W4320029581 hasConceptScore W4320029581C119857082 @default.
- W4320029581 hasConceptScore W4320029581C120314980 @default.
- W4320029581 hasConceptScore W4320029581C127413603 @default.
- W4320029581 hasConceptScore W4320029581C136764020 @default.
- W4320029581 hasConceptScore W4320029581C154945302 @default.
- W4320029581 hasConceptScore W4320029581C158379750 @default.
- W4320029581 hasConceptScore W4320029581C18903297 @default.
- W4320029581 hasConceptScore W4320029581C2780165032 @default.
- W4320029581 hasConceptScore W4320029581C31258907 @default.
- W4320029581 hasConceptScore W4320029581C38652104 @default.
- W4320029581 hasConceptScore W4320029581C38822068 @default.
- W4320029581 hasConceptScore W4320029581C41008148 @default.
- W4320029581 hasConceptScore W4320029581C62611344 @default.
- W4320029581 hasConceptScore W4320029581C66938386 @default.
- W4320029581 hasConceptScore W4320029581C81860439 @default.
- W4320029581 hasConceptScore W4320029581C86803240 @default.
- W4320029581 hasLocation W43200295811 @default.
- W4320029581 hasOpenAccess W4320029581 @default.
- W4320029581 hasPrimaryLocation W43200295811 @default.
- W4320029581 hasRelatedWork W117702191 @default.
- W4320029581 hasRelatedWork W1525137230 @default.
- W4320029581 hasRelatedWork W2074684698 @default.
- W4320029581 hasRelatedWork W2111224693 @default.
- W4320029581 hasRelatedWork W2130966263 @default.
- W4320029581 hasRelatedWork W2137974073 @default.
- W4320029581 hasRelatedWork W2313713667 @default.
- W4320029581 hasRelatedWork W3003690604 @default.
- W4320029581 hasRelatedWork W3026018975 @default.
- W4320029581 hasRelatedWork W4320503161 @default.
- W4320029581 isParatext "false" @default.
- W4320029581 isRetracted "false" @default.
- W4320029581 workType "article" @default.