Application layer DDoS attack detection using cluster with label based on sparse vector decomposition and rhythm matching

Publisher： John Wiley & Sons Inc

E-ISSN： 1939-0122|8|17|3111-3120

ISSN： 1939-0114

Source： SECURITY AND COMMUNICATION NETWORKS (ELECTRONIC), Vol.8, Iss.17, 2015-11, pp. : 3111-3120

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Detection and defense of DDoS attack–based on deep learning in OpenFlow‐based SDN

By  

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS (ELECTRONIC), Vol. 31, Iss. 5, 2018-03 ,pp. : n/a-n/a

John Wiley & Sons Inc

Access to resources Recommend Favorite

On the inference and prediction of DDoS campaigns

By  

WIRELESS COMMUNICATIONS & MOBILE COMPUTING (ELECTRONIC), Vol. 15, Iss. 6, 2015-04 ,pp. : 1066-1078

John Wiley & Sons Inc

Access to resources Recommend Favorite

Genetic‐based framework for prevention of masquerade and DDoS attacks in vehicular ad‐hocnetworks

By  

SECURITY AND COMMUNICATION NETWORKS (ELECTRONIC), Vol. 9, Iss. 15, 2016-10 ,pp. : 2612-2626

John Wiley & Sons Inc

Access to resources Recommend Favorite

Modelling influence of Botnet features on effectiveness of DDoS attacks

By  

SECURITY AND COMMUNICATION NETWORKS (ELECTRONIC), Vol. 8, Iss. 12, 2015-08 ,pp. : 2090-2101

John Wiley & Sons Inc

Access to resources Recommend Favorite

A new metric for flow‐level filtering of low‐rate DDoS attacks

By  

SECURITY AND COMMUNICATION NETWORKS (ELECTRONIC), Vol. 8, Iss. 18, 2015-12 ,pp. : 3815-3825

John Wiley & Sons Inc

Access to resources Recommend Favorite