Cloud Computing (f)or Grid Security
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1 Cloud Computing (f)or Grid Security Assistant professor Laboratory for Communication Networks School of Electrical Engineering KTH Royal Institute of Technology Stockholm, Sweden SANS European SCADA Summit 2011, Rome
2 Cloud Computing NIST definition ( ) On-demand Network access to Shared pool of computing resources Provisioned elastically Monitored and controlled Key enabling technologies Virtualization Networking
3 IaaS PaaS SaaS Service Models and Control Computing resource as a Service Infrastructure (IaaS ) CPU, Ram, storage, OSs Platform (PaaS) Application runtime environment Software (SaaS) Customized software solution Combination of service models Cloud subscriber Application IaaS PaaS SaaS Platform architecture Virtualized infrastructure Hardware Facility Cloud provider Source: NIST
4 Deployment Models Managed by Owned by Located at Accessed by Private Organization Organization On-premise Trusted Community Third party Third party Off-premise Trusted Public Third party Third party Off-premise Non-trusted Hybrid Different levels of Control Exposure to non-trusted parties Economy of scale Cost of ownership Availability Performance Combinations Hybrid models Adapted from: Cloud Security Alliance, CSAGuide V3.0 Source: Jericho Cloud Cube Model
5 The Big Picture
6 There are reasons for moving Improved Availability Cost Economy of scale Staff specialized on security Platform homogeneity Uniform platform enables security automation Multi-endpoint service/data access Simplified security policies Resource scaling Meet varying demands, DoS Backup and recovery Standard policy of cloud provider Operational security Availability
7 And some valid concerns C.I.A? Complex network of interacting components Interaction between tenants Increased integration w. intranet/internet Loss of control, data ownership Cross-border operation and data Vendor lock-in Standardization (SNIA CDMI, OGF OCCI) Security policies, SLAs, dependable networks Source: The OpenNebula Project Service + deployment models, composition SLAs, policy enforcement, attestation, regulation Trustworthy clouds Government clouds
8 And some valid concerns Source: The OpenNebula Project
9 And some valid concerns C.I.A? Complex network of interacting components Interaction between tenants Increased integration w. intranet/internet Loss of control, data ownership Cross-border operation and data Vendor lock-in Standardization (SNIA CDMI, OGF OCCI) Security policies, dependable networks Source: The OpenNebula Project Service + deployment models, composition SLAs, policy enforcement, attestation, regulation Trustworthy clouds Government clouds
10 CLARiiON CLARiiON CLARiiON Potential Use Cases SCADA Master in the Cloud SaaS, PaaS, IaaS service model Private Community deployment A Workstation for operators SCADA Server (Online/Standby) B Communication Equipment (Front-End) SCADA LAN Advanced Workstations Application Servers Modem Firewall Office LAN Communication Networks SCADA Historian in the Cloud IaaS service Public deployment Front-End Substation LAN IED Front-End Substation LAN IED IED Modem System Vendors INTERNET WAN Firewall Disaster recovery Backup in the cloud Source: EU FP7 VIKING project CRM in the Cloud Customizable SaaS Private Community Public Data Analysis in the Cloud Smart metering data aggregation and analysis Korea Electric Power Corporation Jeju Smart Grid Testbed Total Operations Center
11 Healthcare Case Study Healthcare Cloud Computing Vertical Cloud Providers specialized on healthcare Medical Imaging data archival Example: Insite One/Dell Service Model Storage-as-a service (IaaS) and SaaS Standards compliant (DICOM) 4.5 billion imaging objects stored (50/sec) 1.4 million studies/month archived Deployment Models Private cloud and Community cloud Data management Hybrid cloud (private and community) Capacity expansion and disaster recovery Charging model Pay per access (study/image)
12 Summary Computation On-demand Combinations of Service model Deployment model Big (future) potential Research Privacy, attestation, availability Service composition Standardization Application scenarios company dependent Data storage Hot-backup system Off-site backup for Disaster recovery
13 Cloud Computing (f)or Grid Security Assistant professor Laboratory for Communication Networks School of Electrical Engineering KTH Royal Institute of Technology Stockholm, Sweden SANS European SCADA Summit 2011, Rome
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