Section: New Results
Security for Virtualization and Clouds
Participants : Eddy Caron, Arnaud Lefray, Jonathan Rouzaud-Cornabas.
Improving Users' Isolation in IaaS: Virtual Machine Placement with Security Constraints
Nowadays virtualization is used as the sole mechanism to isolate different users on Cloud platforms. Due to improper virtualization of micro-architectural components, data leak and modification can occur on public Clouds. Moreover, using the same attack vector (improper virtualization of micro-architectural components), it is possible to induce performance interferences, i.e. noisy neighbors. Using this approach, a VM can slow down and steal resources from concurrent VMs. In  , we have proposed placement heuristics that take into account isolation requirements. We have modified three classical heuristics to take into account these requirements. Furthermore, we have proposed four new heuristics that take into account the hierarchy of the Cloud platforms and the isolation requirements. Finally, we have evaluated these heuristics and compare them with the modified classical ones. We have shown that our heuristics are performing at least as good as classical ones but are scaling better and are faster by a few order of magnitude than the classical ones.
Security for Cloud Environment through Information Flow Properties Formalization with a First-Order Temporal Logic
The main slowdown of Cloud activity comes from the lack of reliable security. The on-demand security concept aims at delivering and enforcing the client’s security requirements. In  , we have presented an approach, Information Flow Past Linear Time Logic (IF-PLTL), to specify how a system can support a large range of security properties. We have presented how to control those information flows from lower system events. We have given complete details over IF-PLTL syntax and semantics. Furthermore, that logic enables to formalize a large set of security policies. Our approach is exemplified with the Chinese Wall commercial-related policy. Finally, we have discussed the extension of IF-PLTL with dynamic relabeling to encompass more realistic situations through the dynamic domains isolation policy.
Security Metrics for the Cloud Computing and Security-aware Virtual Machine Placement
In a classic Cloud Computing scenario, a client connects to a provider platform/service and submits his computation requirements, sometimes known as Service Level Agree- ments (SLAs). Then, the platform executes the computation taking into account, in its allocation algorithms, criteria like data location, CPU usage or duration of a job. As security in Cloud Computing is a main concern, we propose to consider security as another criteria for jobs scheduling. Thus, two questions need to be answered. The first one is how a client can describe his needs in terms of security level and the second one is how the scheduler could leverage the security to satisfy the client requirements? To provide an answer, a system of security metrics is essential. Indeed, with appropriate metrics, we can quantify and compare the security level of our resources. Moreover, a client can easily describe his security requirements and the scheduler can allocate the fitted resources using these metrics. Unfortunately, such system of metrics is not yet available. Consequently, we developed a system of security metrics specific to the Cloud Computing and scheduling algorithms using these metrics for a Security-Aware Virtual Machine (VM) placement.