cloud security is very important because the shared data as well as private data suffers a lot of issues

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Cloud Provenance
Minnu C Tomy
13PGCS05

2. OVERVIEW
 Introduction
 Cloud Computing
 Characteristics
 Service models
 Deployment model
 Cloud Security
 Cloud provenance
 Conclusion
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3. Introduction
 Cloud computing is the business model of
distributed computing and is considered the
next generation of computing and storage
platforms.
 Cloud computing requires an extension of the
architecture of distributed and parallel
systems by using virtualization techniques
 Key to this extensible architecture is to
support properties such as compute on-
demand and pay-as-you-go model.
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Cloud Computing
”Cloud computing is a model for enabling
convenient, on-demand network access to a
shared pool of configurable computing
resources that can be rapidly provisioned and
released with minimal management effort or
service provider interaction.”

5. Cloud computing services
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Essential Characteristics
 On-demand service
 Get computing capabilities as needed
automatically
 Broad Network Access
 Services available over the net using desktop,
laptop, PDA, mobile phone
 Resource pooling
 Rapid Elasticity
 Ability to quickly scale in/out service
 Measured service
 control, optimize services based on metering

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Service models
 SaaS
 PaaS
 IaaS

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Deployment Models
 Public
 Cloud infrastructure is available to the general
public
 Private
 Cloud infrastructure for single organization only
 Community
 Cloud infrastructure shared by several
organizations that have shared concerns
 Hybrid
 Combination of above models

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Cloud Security
 The key barrier to widespread uptake of
cloud computing is the lack of trust in clouds
by potential customers.
 The cloud acts as a big black box, nothing
inside the cloud is visible to the clients
 Data leakages out of cloud computing
environments are fundamental cloud security
concerns for both
 The end-users and
 The cloud service providers

10. Top threats to cloud computing
1. Abuse and wicked use of cloud computing
2. Insecure application programming interfaces
3. Malicious insiders
4. Shared technology vulnerabilities
5. Data loss or leakages
6. Account, service and traffic hijacking
7. Unknown risk profile.
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Provenance in Cloud
 Provenance- to record ownership and process
history of data objects in cloud in order for
wide acceptance to the public.
 Given its provenance, a data object can
report who created and who modified its
contents.
 Secure provenance is vital to the success of
data forensics in cloud computing.

12. Data Provenance
 The provenance of a data product mainly
consists of two parts
 the ancestral data products from which the
data product is derived
 And the process of transformation of these
ancestors that derive the data product
 Provenance is an important aspect in the
verification, audit trails, reproducibility,
privacy and security, trust, and reliability in
distributed computing.
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13. Conclusion
 Data leakage is the main concern in cloud.
 Data in the cloud should be secure.
 Provenance increases the value of data on
the cloud.
 Establishing trustworthy cloud computing
provenance is fundamental requirement to
establish cloud trust models.
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14. REFERENCES
[1]. Kiran-Kumar Muniswamy-Reddy and
MargoSeltzer, “Provenance as First Class
Cloud Data” , Harvard School of Engineering
and Applied Sciences
[2]. Muhammad imran,Helmut hlavacs,
“Provenance Framework for the Cloud
Infrastructure:Why and How?” , University of
Vienna, Austria
[3]. Ryan Ko , Peter Jagadpramana, Miranda
Mowbray, Siani Pearson, “TrustCloud: A
Framework for Accountability and Trust in
CloudComputing” , Cloud & Security Lab
Hewlett-Packard Laboratories 14

15. Thank u……..
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