ERM: an accurate approach to detect DDoS attacks using entropy rate measurement

Zhou, Lu, Sood, Keshav and Xiang, Yong 2019, ERM: an accurate approach to detect DDoS attacks using entropy rate measurement, IEEE Communications Letters, vol. 23, no. 10, pp. 1700-1703, doi: 10.1109/LCOMM.2019.2931832.

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Title ERM: an accurate approach to detect DDoS attacks using entropy rate measurement
Author(s) Zhou, Lu
Sood, Keshav
Xiang, YongORCID iD for Xiang, Yong orcid.org/0000-0003-3545-7863
Journal name IEEE Communications Letters
Volume number 23
Issue number 10
Start page 1700
End page 1703
Total pages 4
Publisher IEEE
Place of publication Piscataway, N.J.
Publication date 2019
ISSN 1089-7798
1558-2558
Keyword(s) Science & Technology
Technology
Telecommunications
Entropy
Computer crime
Probability distribution
Current measurement
Protocols
Measurement uncertainty
Indexes
entropy rate
DDoS
Language eng
DOI 10.1109/LCOMM.2019.2931832
Indigenous content off
Field of Research 0906 Electrical and Electronic Engineering
1005 Communications Technologies
0805 Distributed Computing
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30131734

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