Trust Management of Services in Cloud

Transcript:Trust Management of Services in Cloud:
Trust Management of Services in Cloud Environments: Obstacles and Solutions Paper by: Talal H. Noor, Quan Z. Sheng, Sherali Zeadally, and Jian Yu Presentation by: Jeremy Tate Outline Could Definition Types of Clouds Service Level Agreements Trust management models of Clouds Analytical Framework for Trust Management Prototypes Real-world examples Cloud Definition Delivering network resources (typically from a data center) to a user as a service Users log into the service (website) to gain access Types of Cloud Infrastructure as a Service Platform as a Service Software as a Service Infrastructure as a Service (IaaS) Provides full virtual servers/storage/networking to a user Allows user to install exact operating system, software, and architecture for a specified project Amazon Elastic Compute Cloud (EC2) and Simple Storage Service (S3) Platform as a Service (PaaS) Provides a service container for the deployment of an application Customer deploys select software/applications but does not control infrastructure Microsoft Azure, Google Apps Software as a Service (SaaS) Service provider provides all services and the user provides content User has no control over software or infrastructure Google Docs and Facebook Service Level Agreements (SLAs) Private Cloud Community Cloud Public Cloud Hybrid Cloud Private Cloud Computing resources are for the sole use of a single organization/company Could include multiple business units Interactions are B2B Community Cloud Resources are shared among members of a community All have the same goal Public Cloud Resources are available to everyone B2C interactions EC2, S3 Hybrid Cloud Two or more of the previous models are used together One portion could be private, another public B2B and B2C Trust Models Service provider’s perspective (SPP) Trust from the provider POV Service requester’s perspective (SRP) Trust from the consumer POV Techniques Policy as a Trust Management technique Recommendation as a TM technique Reputation as a TM technique Prediction as a TM technique Policy as a TM Technique Uses a set of policies to control authorization and specify minimum trust levels Trust thresholds based on trust results or credentials A cloud service consumer x, has policies Px, credentials Cx and minimum trust threshold Tx Provider has all the same attributes (as y) Relationship is considered trusted if Tr(x,y) = 1 Recommendation as a TM Technique Use prior experiences to determine trust Can use either explicit recommendation or transitive recommendation Consumer x, trust relation with cloud z, service provider y Reputation as a TM Technique Use consumer feedback to rate service