1 research outputs found
On Machine Learning DoS Attack Identification from Cloud Computing Telemetry
The detection of Denial of Service (DoS) attacks remains a challenge for the
cloud environment, affecting a massive number of services and applications
hosted by such virtualized infrastructures. Typically, in the literature, the
detection of DoS attacks is performed solely by analyzing the traffic of
packets in the network. This work advocates for the use of telemetry from the
cloud to detect DoS attacks using Machine Learning algorithms. Our hypothesis
is based on richness of such native data collection services, with metrics from
both physical and virtual hosts. Our preliminary results demonstrate that DoS
can be identified accurately with k-Nearest Neighbors (kNN) and decision tree
(CART).Comment: Abstract submit for LANCOMM 2019
(http://sbrc2019.sbc.org.br/en/lancomm-student-workshop-2019/