Title
Tracking Application Fingerprint in a Trustless Cloud Environment for Sabotage Detection
Abstract
Companies are more and more inclined to use collaborative cloud resources when their maximum internal capacities are reached in order to minimize their TCO. The downside of using such a collaborative cloud, made of private clouds' unused resources, is that malicious resource providers may sabotage the correct execution of third-party-owned applications due to its uncontrolled nature. In this paper, we propose an approach that allows sabotage detection in a trustless environment. To do so, we designed a mechanism that (1) builds an application fingerprint considering a large set of resources usage (such as CPU, I/O, memory) in a trusted environment using random forest algorithm, and (2) an online remote fingerprint recognizer that monitors application execution and that makes it possible to detect unexpected application behavior. Our approach has been tested by building the fingerprint of 5 applications on trusted machines. When running these applications on untrusted machines (with either homogeneous, heterogeneous or unspecified hardware from the one that was used to build the model), the fingerprint recognizer was able to ascertain whether the execution of the application is correct or not with a median accuracy of about 98% for heterogeneous hardware and about 40% for the unspecified one.
Year
DOI
Venue
2019
10.1109/MASCOTS.2019.00018
2019 IEEE 27th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS)
Keywords
Field
DocType
Correct Execution, Resource Management, Cloud, Fingerprint, Sabotage
Resource management,Cloud resources,Homogeneous,Computer science,Real-time computing,Fingerprint,Random forest,Distributed computing,Cloud computing
Conference
ISSN
ISBN
Citations 
2375-0227
978-1-7281-4950-9
0
PageRank 
References 
Authors
0.34
13
4
Name
Order
Citations
PageRank
Jean-Emile Dartois100.34
Jalil Boukhobza200.34
Vincent Françoise300.34
Olivier Barais472461.99