586 research outputs found
TCG based approach for secure management of virtualized platforms: state-of-the-art
There is a strong trend shift in the favor of adopting virtualization to get business benefits. The provisioning of virtualized enterprise resources is one kind of many possible scenarios. Where virtualization promises clear advantages it also poses new security challenges which need to be addressed to gain stakeholders confidence in the dynamics of new environment. One important facet of these challenges is establishing 'Trust' which is a basic primitive for any viable business model. The Trusted computing group (TCG) offers technologies and mechanisms required to establish this trust in the target platforms. Moreover, TCG technologies enable protecting of sensitive data in rest and transit. This report explores the applicability of relevant TCG concepts to virtualize enterprise resources securely for provisioning, establish trust in the target platforms and securely manage these virtualized Trusted Platforms
myTrustedCloud: Trusted cloud infrastructure for security-critical computation and data managment
Copyright @ 2012 IEEECloud Computing provides an optimal infrastructure to utilise and share both computational and data resources whilst allowing a pay-per-use model, useful to cost-effectively manage hardware investment or to maximise its utilisation. Cloud Computing also offers transitory access to scalable amounts of computational resources, something that is particularly important due to the time and financial constraints of many user communities. The growing number of communities that are adopting large public cloud resources such as Amazon Web Services [1] or Microsoft Azure [2] proves the success and hence usefulness of the Cloud Computing paradigm. Nonetheless, the typical use cases for public clouds involve non-business critical applications, particularly where issues around security of utilization of applications or deposited data within shared public services are binding requisites. In this paper, a use case is presented illustrating how the integration of Trusted Computing technologies into an available cloud infrastructure - Eucalyptus - allows the security-critical energy industry to exploit the flexibility and potential economical benefits of the Cloud Computing paradigm for their business-critical applications
Citizen Electronic Identities using TPM 2.0
Electronic Identification (eID) is becoming commonplace in several European
countries. eID is typically used to authenticate to government e-services, but
is also used for other services, such as public transit, e-banking, and
physical security access control. Typical eID tokens take the form of physical
smart cards, but successes in merging eID into phone operator SIM cards show
that eID tokens integrated into a personal device can offer better usability
compared to standalone tokens. At the same time, trusted hardware that enables
secure storage and isolated processing of sensitive data have become
commonplace both on PC platforms as well as mobile devices.
Some time ago, the Trusted Computing Group (TCG) released the version 2.0 of
the Trusted Platform Module (TPM) specification. We propose an eID architecture
based on the new, rich authorization model introduced in the TCGs TPM 2.0. The
goal of the design is to improve the overall security and usability compared to
traditional smart card-based solutions. We also provide, to the best our
knowledge, the first accessible description of the TPM 2.0 authorization model.Comment: This work is based on an earlier work: Citizen Electronic Identities
using TPM 2.0, to appear in the Proceedings of the 4th international workshop
on Trustworthy embedded devices, TrustED'14, November 3, 2014, Scottsdale,
Arizona, USA, http://dx.doi.org/10.1145/2666141.266614
Protecting Private Data in the Cloud
Companies that process business critical and secret data are reluctant
to use utility and cloud computing for the risk that their data gets
stolen by rogue system administrators at the hosting company. We
describe a system organization that prevents host administrators from
directly accessing or installing eaves-dropping software on the
machine that holds the client's valuable data. Clients are monitored
via machine code probes that are inlined into the clients' programs at
runtime. The system enables the cloud provider to install and remove software
probes into the machine code without stopping the client's program, and
it prevents the provider from installing probes not granted by the
client
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