With the proliferation of mobile devices of advanced capabilities and the establishment of wireless networking standards
supporting high capacity and reliable connectivity, the mobile ecosystem is increasingly becoming an extension of the traditional
desktop computing paradigm. Security of the mobile ecosystem is however a challenging issue due to the wide heterogeneity
in terms of platforms, operative systems, applications and protocols and therefore it has attracted the focus of many malicious
attacks by adversaries. Mobile botnets have recently emerged as a potentially high security risk, affecting not only the infected
mobile devices but also the operation of other systems and services assuming it can be used to mount DDoS attacks. Whereas
there have been research works addressing specific mobile botnets and certain aspects of their operation, systematic efforts are still
lacking. In this respect, we present here our work on designing, implementing and deploying a hybrid experimental platform that
facilitates testing and experimentation with mobile botnets. The platform supports definition, execution and monitoring the progress
of mobile botnets experiments, as well as the analysis of the corresponding results. Such experiments are hindered nowadays by
the distributed and dynamic nature of mobile botnets that make it difficult to observe their operation and act to counter the security
risks that they pose. Accordingly, the platform promotes harmonized and repeatable research efforts and allows for the validation
of relevant solutions to detect and analyse mobile botnets.
MALATRAS Apostolos;
CIARDULLI Andrea;
SANCHEZ MARTIN Jose Ignacio;
BESLAY Laurent;
BENOIST Thierry;
SOUPIONIS Ioannis;
2017-09-12
CRC Press
JRC105237
9781138033573,
https://publications.jrc.ec.europa.eu/repository/handle/JRC105237,
| Name | Country | City | Type |
|---|
This document is only visible at the Commission level.
You are not authorized to publish or distribute it outside the European Commission.
This is a public document. You can share this publication.
Datasets
| ID | Title | Public URL |
|---|
Dataset collections
| ID | Acronym | Title | Public URL |
|---|
Scripts / source codes
| Description | Public URL |
|---|
Additional supporting files
| File name | Description | File type |
|---|