Publication Date

8-2017

Date of Final Oral Examination (Defense)

6-16-2017

Type of Culminating Activity

Thesis

Degree Title

Master of Science in Computer Science

Department

Computer Science

Supervisory Committee Chair

Jyh-haw Yeh, Ph.D.

Supervisory Committee Member

Dianxiang Xu, Ph.D.

Supervisory Committee Member

Gaby Dagher, Ph.D.

Abstract

In recent years, cloud storage has become an inexpensive and convenient option for individuals and businesses to store and retrieve information. The cloud releases the data owner from the financial burden of hiring professionals to create, update and maintain local databases. The advancements in the field of networking and the growing need for computing resources for various applications have made cloud computing more demanding. Its positive aspects make the cloud an attractive option for data storage, but this service comes with a cost that it requires the data owner to relinquish control of their information to the cloud service provider. So, there remains the possibility for malicious insider attacks on the data that may involve addition, omission, or manipulation of data. This paper presents a novel Integrity Coded Database (ICDB) approach for ensuring data correctness and freshness in the cloud. Various options for verifying the integrity of queried data in different granularities are provided, such as the coarse-grained integrity protection for the entire returned dataset or a more fine-grained integrity protection down to each tuple or even each attribute. ICDB allows data owners to insert integrity codes into a database, outsource the database to the cloud, run queries against the cloud database server, and verify that the queried information from the cloud is both correct and fresh. An ICDB prototype has been developed in order to benchmark several ICDB schemes to evaluate their performance.

DOI

https://doi.org/10.18122/B23T3Z

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