Classifying malicious activities in Honeynets using entropy and volume-based thresholds.
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| Title: | Classifying malicious activities in Honeynets using entropy and volume-based thresholds. |
|---|---|
| Authors: | Sqalli, Mohammed H.1, Firdous, Syed Naeem1, Salah, Khaled2, Abu-Amara, Marwan1 |
| Source: | Security & Communication Networks; May2013, Vol. 6 Issue 5, p567-583, 16p |
| Database: | Applied Science & Technology Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 86881667 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/sec.575 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 567 Titles: – TitleFull: Classifying malicious activities in Honeynets using entropy and volume-based thresholds. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sqalli, Mohammed H. – PersonEntity: Name: NameFull: Firdous, Syed Naeem – PersonEntity: Name: NameFull: Salah, Khaled – PersonEntity: Name: NameFull: Abu-Amara, Marwan IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 05 Text: May2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 19390114 Numbering: – Type: volume Value: 6 – Type: issue Value: 5 Titles: – TitleFull: Security & Communication Networks Type: main |
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