Cloud computing offers a massive pool of resources and services that cloud users can utilize for storing and processing their data. The users can flexibly control and reduce their operational expenditures, whereas resources provisioned from the clouds can be dynamically resized to meet their demand and especially budgets. The user, however, has to consider unanticipated and expensive costs from threats associated with attacks aiming for the user's data in the cloud. In this chapter, we discuss the primary causes of new attack vectors that create a multitude of data security issues in clouds. We also discuss specific data security challenges in clouds and provide a classification which can help in an easier understanding.

Chapter Contents:

• Abstract
• 1.1 Introduction
• 1.2 Definitions and terminology
• 1.3 Need for new methods
• 1.3.1 Cryptography
• 1.3.2 Data provenance
• 1.3.3 Privacy and security laws and regulations
• 1.3.3.1 Gaps and misalignments
• 1.3.3.2 Different expectations on technology and control
• 1.4 Classification of data security issues in cloud computing
• 1.4.1 Data at rest
• 1.4.2 Data in use
• 1.4.3 Data in transit
• 1.4.4 Cross-cutting issues
• 1.5 Conclusion
• References

Inspec keywords: cloud computing; vectors; security of data; pattern classification; resource allocation

Other keywords: cloud computing; attack vectors; data security; cloud users; user data; classification; cloud security; data storage; operational expenditures; data processing; data-centric view

Subjects: Data security; Internet software