Title
Types for Location and Data Security in Cloud Environments
Abstract
Cloud service providers are often trusted to be genuine, the damage caused by being discovered to be attacking their own customers outweighs any benefits such attacks could reap. On the other hand, it is expected that some cloud service users may be actively malicious. In such an open system, each location may run code which has been developed independently of other locations (and which may be secret). In this paper, we present a typed language which ensures that the access restrictions put on data on a particular device will be observed by all other devices running typed code. Untyped, compromised devices can still interact with typed devices without being able to violate the policies, except in the case when a policy directly places trust in untyped locations. Importantly, our type system does not need a middleware layer or all users to register with a preexisting PKI, and it allows for devices to dynamically create new identities. The confidentiality property guaranteed by the language is defined for any kind of intruder: we consider labeled bisimilarity i.e. an attacker cannot distinguish two scenarios that differ by the change of a protected value. This shows our main result that, for a device that runs well typed code and only places trust in other well typed devices, programming errors cannot cause a data leakage.
Year
DOI
Venue
2017
10.1109/CSF.2017.25
2017 IEEE 30th Computer Security Foundations Symposium (CSF)
Keywords
DocType
Volume
data leakage,data security,cloud service providers,cloud service users,access restrictions,type system,confidentiality property
Conference
abs/1706.01742
ISSN
ISBN
Citations 
1063-6900
978-1-5386-3218-5
3
PageRank 
References 
Authors
0.40
19
3
Name
Order
Citations
PageRank
Ivan Gazeau1182.08
Tom Chothia244129.82
Dominic Duggan320323.34