Skip to Main content Skip to Navigation
Book sections

Source-based Detection of Malicious Behavior in Cloud Environment

Rémi Cogranne 1 
1 LM2S - Laboratoire Modélisation et Sûreté des Systèmes
LIST3N - Laboratoire Informatique et Société Numérique
Abstract : This short paper summarized our research and our contributions on the problem of source-based detection of BotCloud at large scale. We carefully took into account two major constraints of the reallife context: the tenant privacy and the cloud architecture in which tenant containers are spread out over different servers which requires a distributed detection solutions. In addition, one of the main strength of our works rests on the assessment over a real dataset collected on PlanetLab research infrastructure in which we created containers executing DDoS-type attacks with several software.
Complete list of metadata

https://hal-utt.archives-ouvertes.fr/hal-03625583
Contributor : Rémi Cogranne Connect in order to contact the contributor
Submitted on : Thursday, March 31, 2022 - 5:55:58 AM
Last modification on : Wednesday, August 31, 2022 - 6:54:58 PM
Long-term archiving on: : Friday, July 1, 2022 - 7:08:30 PM

File

ERI_UTT_RC_SourceBasedDetectio...
Files produced by the author(s)

Identifiers

  • HAL Id : hal-03625583, version 1

Collections

Citation

Rémi Cogranne. Source-based Detection of Malicious Behavior in Cloud Environment. ERI Network & Telecom - EUt+ Workshop, 2022. ⟨hal-03625583⟩

Share

Metrics

Record views

23

Files downloads

8