Matches in SemOpenAlex for { <https://semopenalex.org/work/W4293490153> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W4293490153 endingPage "245" @default.
- W4293490153 startingPage "239" @default.
- W4293490153 abstract "Hackers can embed malwares in the pages to take client data and procure cash illicitly. Actually, it is noticed that near 33% of all sites are conceivably malicious in nature. In this manner, It bodes well to rapidly distinguish malicious URLs on the Internet. Unique in relation to the vast majority of past strategies, right now, propose a strategy for online malicious URL identification dependent on versatile learning. By gathering the network traffic from spine networks, we train neural network models to recognize malicious URLs. Yet, there is a difficult issue in powerfully changing conditions where the factual properties of target variable change after some time, which is known as idea float. To address this issue, we apply a nonparametric test to effectively distinguish idea floats in versatile learning. Malicious URLs are destructive to each part of PC clients. Identifying of the malicious URL is significant. As of now, location of malicious website pages strategies incorporates boycott and white-list procedure and AI order algorithms are utilized. In any case, the boycott and white-list innovation is pointless if a specific URL isn’t in list. In the proposed framework, a calculation dependent on the Convolutional Neural Network-LSTM model is developed to address this issue." @default.
- W4293490153 created "2022-08-29" @default.
- W4293490153 creator A5001266362 @default.
- W4293490153 creator A5030650747 @default.
- W4293490153 creator A5057092695 @default.
- W4293490153 date "2022-08-30" @default.
- W4293490153 modified "2023-10-01" @default.
- W4293490153 title "Dynamic and Unified Approach to Distinguish Malicious URL Using LSTM" @default.
- W4293490153 cites W2321446074 @default.
- W4293490153 cites W2625935159 @default.
- W4293490153 cites W2677767017 @default.
- W4293490153 cites W2980621919 @default.
- W4293490153 cites W2982483294 @default.
- W4293490153 cites W2993362181 @default.
- W4293490153 cites W3008235682 @default.
- W4293490153 cites W3026793894 @default.
- W4293490153 cites W3043204672 @default.
- W4293490153 cites W3117385219 @default.
- W4293490153 cites W4212860850 @default.
- W4293490153 cites W4213347101 @default.
- W4293490153 doi "https://doi.org/10.1007/978-981-19-2538-2_23" @default.
- W4293490153 hasPublicationYear "2022" @default.
- W4293490153 type Work @default.
- W4293490153 citedByCount "0" @default.
- W4293490153 crossrefType "book-chapter" @default.
- W4293490153 hasAuthorship W4293490153A5001266362 @default.
- W4293490153 hasAuthorship W4293490153A5030650747 @default.
- W4293490153 hasAuthorship W4293490153A5057092695 @default.
- W4293490153 hasConcept C110875604 @default.
- W4293490153 hasConcept C116834253 @default.
- W4293490153 hasConcept C119857082 @default.
- W4293490153 hasConcept C136764020 @default.
- W4293490153 hasConcept C154945302 @default.
- W4293490153 hasConcept C17744445 @default.
- W4293490153 hasConcept C199539241 @default.
- W4293490153 hasConcept C22735295 @default.
- W4293490153 hasConcept C2780105190 @default.
- W4293490153 hasConcept C38652104 @default.
- W4293490153 hasConcept C38822068 @default.
- W4293490153 hasConcept C41008148 @default.
- W4293490153 hasConcept C59822182 @default.
- W4293490153 hasConcept C86803240 @default.
- W4293490153 hasConcept C86844869 @default.
- W4293490153 hasConcept C94625758 @default.
- W4293490153 hasConceptScore W4293490153C110875604 @default.
- W4293490153 hasConceptScore W4293490153C116834253 @default.
- W4293490153 hasConceptScore W4293490153C119857082 @default.
- W4293490153 hasConceptScore W4293490153C136764020 @default.
- W4293490153 hasConceptScore W4293490153C154945302 @default.
- W4293490153 hasConceptScore W4293490153C17744445 @default.
- W4293490153 hasConceptScore W4293490153C199539241 @default.
- W4293490153 hasConceptScore W4293490153C22735295 @default.
- W4293490153 hasConceptScore W4293490153C2780105190 @default.
- W4293490153 hasConceptScore W4293490153C38652104 @default.
- W4293490153 hasConceptScore W4293490153C38822068 @default.
- W4293490153 hasConceptScore W4293490153C41008148 @default.
- W4293490153 hasConceptScore W4293490153C59822182 @default.
- W4293490153 hasConceptScore W4293490153C86803240 @default.
- W4293490153 hasConceptScore W4293490153C86844869 @default.
- W4293490153 hasConceptScore W4293490153C94625758 @default.
- W4293490153 hasLocation W42934901531 @default.
- W4293490153 hasOpenAccess W4293490153 @default.
- W4293490153 hasPrimaryLocation W42934901531 @default.
- W4293490153 hasRelatedWork W1969953346 @default.
- W4293490153 hasRelatedWork W2097359636 @default.
- W4293490153 hasRelatedWork W2252726466 @default.
- W4293490153 hasRelatedWork W2332894489 @default.
- W4293490153 hasRelatedWork W2389528884 @default.
- W4293490153 hasRelatedWork W2887037008 @default.
- W4293490153 hasRelatedWork W3096790480 @default.
- W4293490153 hasRelatedWork W3115624227 @default.
- W4293490153 hasRelatedWork W4206046206 @default.
- W4293490153 hasRelatedWork W4214805991 @default.
- W4293490153 isParatext "false" @default.
- W4293490153 isRetracted "false" @default.
- W4293490153 workType "book-chapter" @default.