Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-32873-2_8
Title: Secure quasi-realtime collaborative editing over low-cost storage services
Authors: Zhang, C.
Jin, J.
Chang, E.-C. 
Mehrotra, S.
Issue Date: 2012
Source: Zhang, C.,Jin, J.,Chang, E.-C.,Mehrotra, S. (2012). Secure quasi-realtime collaborative editing over low-cost storage services. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7482 LNCS : 111-129. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-32873-2_8
Abstract: A realtime collaborative editor facilitates concurrent editing of a document by multiple authors. It is desired that the document be shared only among the authors, and protected from the potentially curious server. Existing approaches have taken two distinct paths - centralized server based approaches that achieve high concurrency and meet real-time requirement but compromise on security and incur high server cost, and peer-to-peer based approaches that support security but compromise on users' convenience and mobility. In this paper, we observe that by relaxing the realtime requirement, we can achieve security, reduce server cost and yet exploit the conveniences of the centralized setting. In particular, we consider generic low-cost storage servers in the cloud that provide storage integrity but do not guarantee low-latency. Essentially, our method breaks the document into small encrypted regions that are stored on the server and coordinates the authors' access. Although two authors are unable to concurrently modify a same region, the system is able to provide "quasi-realtime" experience. By relaxing the requirement to quasi-realtime, the difficulties in achieving document consistency, and the requirement on resources are significantly reduced. We give a proof-of-concept implementation on top of Dropbox, a commercial cloud storage service. Preliminary user studies show that the system is effective. © 2012 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40557
ISBN: 9783642328725
ISSN: 03029743
DOI: 10.1007/978-3-642-32873-2_8
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