Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining: = Detection of security-critical events in company networks using data mining
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Abschlussarbeit Buch |
| Sprache: | German |
| Veröffentlicht: |
Würzburg
2020
|
| Schlagworte: | |
| Online-Zugang: | kostenfrei |
| Beschreibung: | erschienen 2021 |
| Beschreibung: | xiv, 228 Seiten Diagramme |
| DOI: | 10.25972/OPUS-21956 |
Internformat
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| 245 | 1 | 0 | |a Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining |b = Detection of security-critical events in company networks using data mining |c vorgelegt von Markus Ring |
| 246 | 1 | 1 | |a Detection of security-critical events in company networks using data mining |
| 264 | 1 | |a Würzburg |c 2020 | |
| 300 | |a xiv, 228 Seiten |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a erschienen 2021 | ||
| 502 | |b Dissertation |c Julius-Maximilians-Universität Würzburg |d 2020 | ||
| 546 | |a Zusammenfassung in deutscher und englischer Sprache | ||
| 583 | 1 | |a Archivierung/Langzeitarchivierung gewährleistet |5 DE-101 |2 pdager | |
| 650 | 0 | 7 | |a Data Mining |0 (DE-588)4428654-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Datensicherung |0 (DE-588)4011144-1 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Angriff |0 (DE-588)4142472-4 |2 gnd |9 rswk-swf |
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| 650 | 0 | 7 | |8 3\p |a Data mining |
| 653 | |a IT-Sicherheit | ||
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| 689 | 0 | 3 | |a Datensicherung |0 (DE-588)4011144-1 |D s |
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| 856 | 4 | 1 | |u https://doi.org/10.25972/OPUS-21956 |x Resolving-System |z kostenfrei |3 Volltext |
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Datensatz im Suchindex
| _version_ | 1804182335617236992 |
|---|---|
| adam_txt | |
| any_adam_object | |
| any_adam_object_boolean | |
| author | Ring, Markus 19XX- |
| author_GND | (DE-588)123034151X |
| author_facet | Ring, Markus 19XX- |
| author_role | aut |
| author_sort | Ring, Markus 19XX- |
| author_variant | m r mr |
| building | Verbundindex |
| bvnumber | BV047217008 |
| classification_rvk | ST 276 ST 530 |
| collection | ebook |
| ctrlnum | (OCoLC)1245338234 (DE-599)BVBBV047217008 |
| discipline | Informatik |
| discipline_str_mv | Informatik |
| doi_str_mv | 10.25972/OPUS-21956 |
| format | Thesis Book |
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| id | DE-604.BV047217008 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:56:05Z |
| indexdate | 2024-07-10T09:05:55Z |
| institution | BVB |
| language | German |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032621699 |
| oclc_num | 1245338234 |
| open_access_boolean | 1 |
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| physical | xiv, 228 Seiten Diagramme |
| psigel | ebook |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
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| spelling | Ring, Markus 19XX- Verfasser (DE-588)123034151X aut Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining vorgelegt von Markus Ring Detection of security-critical events in company networks using data mining Würzburg 2020 xiv, 228 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier erschienen 2021 Dissertation Julius-Maximilians-Universität Würzburg 2020 Zusammenfassung in deutscher und englischer Sprache Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager Data Mining (DE-588)4428654-5 gnd rswk-swf Datensicherung (DE-588)4011144-1 gnd rswk-swf Angriff (DE-588)4142472-4 gnd rswk-swf Corporate Network (DE-588)4402944-5 gnd rswk-swf 3\p Data mining IT-Sicherheit Netzwerkdaten Intrusion Detection (DE-588)4113937-9 Hochschulschrift gnd-content Data Mining (DE-588)4428654-5 s Corporate Network (DE-588)4402944-5 s Angriff (DE-588)4142472-4 s Datensicherung (DE-588)4011144-1 s DE-604 Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:20-opus-219561 doi:10.25972/OPUS-21956 https://doi.org/10.25972/OPUS-21956 Resolving-System kostenfrei Volltext 1\p aepsg 0,86699 20210119 DE-101 https://d-nb.info/provenance/plan#aepsg 2\p aepkn 0,87318 20210119 DE-101 https://d-nb.info/provenance/plan#aepkn 3\p aeplcsh 0,00571 20210119 DE-101 https://d-nb.info/provenance/plan#aeplcsh (DLC)sh97002073 http://id.loc.gov/authorities/subjects/sh97002073 lcsh |
| spellingShingle | Ring, Markus 19XX- Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining Data Mining (DE-588)4428654-5 gnd Datensicherung (DE-588)4011144-1 gnd Angriff (DE-588)4142472-4 gnd Corporate Network (DE-588)4402944-5 gnd 3\p Data mining |
| subject_GND | (DE-588)4428654-5 (DE-588)4011144-1 (DE-588)4142472-4 (DE-588)4402944-5 (DE-588)4113937-9 |
| title | Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining |
| title_alt | Detection of security-critical events in company networks using data mining |
| title_auth | Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining |
| title_exact_search | Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining |
| title_exact_search_txtP | Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining |
| title_full | Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining vorgelegt von Markus Ring |
| title_fullStr | Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining vorgelegt von Markus Ring |
| title_full_unstemmed | Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining = Detection of security-critical events in company networks using data mining vorgelegt von Markus Ring |
| title_short | Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining |
| title_sort | detektion sicherheitskritischer ereignisse in unternehmensnetzwerken mittels data mining detection of security critical events in company networks using data mining |
| title_sub | = Detection of security-critical events in company networks using data mining |
| topic | Data Mining (DE-588)4428654-5 gnd Datensicherung (DE-588)4011144-1 gnd Angriff (DE-588)4142472-4 gnd Corporate Network (DE-588)4402944-5 gnd 3\p Data mining |
| topic_facet | Data Mining Datensicherung Angriff Corporate Network Data mining Hochschulschrift |
| url | https://doi.org/10.25972/OPUS-21956 |
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