Date of Award

8-1-2022

Language

English

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

College/School/Department

Department of Computer Science

Content Description

1 online resource (xvii, 98 pages) : illustrations (some color)

Dissertation/Thesis Chair

Pradeep K Atrey

Committee Members

Michael Zink, Paliath Narendran, Amir Masoumzadeh

Keywords

cloud security, collaborative access, concurrent editing, secure document editing, Authorship, Cloud computing, Data encryption (Computer science)

Subject Categories

Computer Sciences

Abstract

Cloud-based online document editing services, such as Google Docs and Office 365, provide an inexpensive and efficient means of managing documents. However, storing data on the cloud also raises certain security and privacy concerns, especially when the data is of confidential and sensitive nature. Storing data on third-party servers can potentially be compromising as it gives an opportunity to the third-party cloud service providers to turn semi-honest and become curious about user data. User data stored on third-party servers is also prone to attacks like virtual machine-based side-channel along with natural language processing and machine learning-based content search and retrieval techniques. In a collaborative online editing environment, user data should never be exposed to the cloud in plain text form. Thus, there is a need for secure collaborative editing frameworks and services. Prior works around secure collaborative editing have several limitations, and some are not practical.

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