Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312371566> ?p ?o ?g. }
Showing items 1 to 97 of
97
with 100 items per page.
- W4312371566 endingPage "243" @default.
- W4312371566 startingPage "231" @default.
- W4312371566 abstract "With the increasing number of insider threat incidents, insider threat has become one of the most serious network security problems. Currently, the large volume of user data generated by various network systems and devices is difficult to analyze, and it is very difficult to detect abnormal user behavior among them. Meanwhile, existing insider threat detection methods cannot fully learn the important features of user data, resulting in a high false alarm rate and low accuracy. To solve these problems, we propose a novel insider threat method based on variational auto-encoder (VAE) and back propagation neural network (BPNN) in the paper. Initially, we use the generative model VAE to construct the normal user behavior model, and obtain the effective feature representation of user behavior. Then, we use the BPNN algorithm to detect abnormal user behavior from a large number of user activity logs. Finally, we conduct experiments to verify the detection performance of the proposed method. Experimental results indicate that the proposed detection method can achieve high accuracy and precision." @default.
- W4312371566 created "2023-01-04" @default.
- W4312371566 creator A5021298710 @default.
- W4312371566 creator A5034529096 @default.
- W4312371566 creator A5057264195 @default.
- W4312371566 creator A5074334263 @default.
- W4312371566 creator A5084780155 @default.
- W4312371566 creator A5088558094 @default.
- W4312371566 date "2022-01-01" @default.
- W4312371566 modified "2023-09-23" @default.
- W4312371566 title "An Effective Insider Threat Detection Apporoach Based on BPNN" @default.
- W4312371566 cites W1518484620 @default.
- W4312371566 cites W1991210879 @default.
- W4312371566 cites W2007317830 @default.
- W4312371566 cites W2025809307 @default.
- W4312371566 cites W2047668391 @default.
- W4312371566 cites W2053003065 @default.
- W4312371566 cites W2188581537 @default.
- W4312371566 cites W2790664081 @default.
- W4312371566 cites W2884984219 @default.
- W4312371566 cites W2912868009 @default.
- W4312371566 cites W2914623161 @default.
- W4312371566 cites W3011124515 @default.
- W4312371566 cites W3020736316 @default.
- W4312371566 cites W3045635152 @default.
- W4312371566 cites W3124014468 @default.
- W4312371566 cites W3130625521 @default.
- W4312371566 cites W4288083473 @default.
- W4312371566 doi "https://doi.org/10.1007/978-3-031-19208-1_20" @default.
- W4312371566 hasPublicationYear "2022" @default.
- W4312371566 type Work @default.
- W4312371566 citedByCount "0" @default.
- W4312371566 crossrefType "book-chapter" @default.
- W4312371566 hasAuthorship W4312371566A5021298710 @default.
- W4312371566 hasAuthorship W4312371566A5034529096 @default.
- W4312371566 hasAuthorship W4312371566A5057264195 @default.
- W4312371566 hasAuthorship W4312371566A5074334263 @default.
- W4312371566 hasAuthorship W4312371566A5084780155 @default.
- W4312371566 hasAuthorship W4312371566A5088558094 @default.
- W4312371566 hasConcept C119857082 @default.
- W4312371566 hasConcept C124101348 @default.
- W4312371566 hasConcept C138885662 @default.
- W4312371566 hasConcept C154945302 @default.
- W4312371566 hasConcept C159985019 @default.
- W4312371566 hasConcept C17744445 @default.
- W4312371566 hasConcept C192562407 @default.
- W4312371566 hasConcept C199360897 @default.
- W4312371566 hasConcept C199539241 @default.
- W4312371566 hasConcept C2776401178 @default.
- W4312371566 hasConcept C2776633304 @default.
- W4312371566 hasConcept C2776836416 @default.
- W4312371566 hasConcept C2778971194 @default.
- W4312371566 hasConcept C2779119184 @default.
- W4312371566 hasConcept C2780801425 @default.
- W4312371566 hasConcept C38652104 @default.
- W4312371566 hasConcept C41008148 @default.
- W4312371566 hasConcept C41895202 @default.
- W4312371566 hasConcept C50644808 @default.
- W4312371566 hasConcept C77052588 @default.
- W4312371566 hasConceptScore W4312371566C119857082 @default.
- W4312371566 hasConceptScore W4312371566C124101348 @default.
- W4312371566 hasConceptScore W4312371566C138885662 @default.
- W4312371566 hasConceptScore W4312371566C154945302 @default.
- W4312371566 hasConceptScore W4312371566C159985019 @default.
- W4312371566 hasConceptScore W4312371566C17744445 @default.
- W4312371566 hasConceptScore W4312371566C192562407 @default.
- W4312371566 hasConceptScore W4312371566C199360897 @default.
- W4312371566 hasConceptScore W4312371566C199539241 @default.
- W4312371566 hasConceptScore W4312371566C2776401178 @default.
- W4312371566 hasConceptScore W4312371566C2776633304 @default.
- W4312371566 hasConceptScore W4312371566C2776836416 @default.
- W4312371566 hasConceptScore W4312371566C2778971194 @default.
- W4312371566 hasConceptScore W4312371566C2779119184 @default.
- W4312371566 hasConceptScore W4312371566C2780801425 @default.
- W4312371566 hasConceptScore W4312371566C38652104 @default.
- W4312371566 hasConceptScore W4312371566C41008148 @default.
- W4312371566 hasConceptScore W4312371566C41895202 @default.
- W4312371566 hasConceptScore W4312371566C50644808 @default.
- W4312371566 hasConceptScore W4312371566C77052588 @default.
- W4312371566 hasLocation W43123715661 @default.
- W4312371566 hasOpenAccess W4312371566 @default.
- W4312371566 hasPrimaryLocation W43123715661 @default.
- W4312371566 hasRelatedWork W1557550969 @default.
- W4312371566 hasRelatedWork W2075378482 @default.
- W4312371566 hasRelatedWork W2123406758 @default.
- W4312371566 hasRelatedWork W2164689411 @default.
- W4312371566 hasRelatedWork W2188727410 @default.
- W4312371566 hasRelatedWork W2279735193 @default.
- W4312371566 hasRelatedWork W2296612019 @default.
- W4312371566 hasRelatedWork W2892204215 @default.
- W4312371566 hasRelatedWork W3128136616 @default.
- W4312371566 hasRelatedWork W4312371566 @default.
- W4312371566 isParatext "false" @default.
- W4312371566 isRetracted "false" @default.
- W4312371566 workType "book-chapter" @default.