Entropy Based Features Distribution for Anti-DDoS Model in SDN
Entropy Based Features Distribution for Anti-DDoS Model in SDN
About this item
Full title
Entropy Based Features Distribution for Anti-DDoS Model in SDN
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Sustainability, 2021-02, Vol.13 (3), p.1522
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
In modern network infrastructure, Distributed Denial of Service (DDoS) attacks are considered as severe network security threats. For conventional network security tools it is extremely difficult to distinguish between the higher traffic volume of a DDoS attack and large number of legitimate users accessing a targeted network service or a resource....
Alternative Titles
Full title
Entropy Based Features Distribution for Anti-DDoS Model in SDN
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2562206767
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2562206767
Other Identifiers
ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su13031522
How to access this item
Log in as a Library member
