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  1. Proceedings of the 2012 ACM Workshop on Cloud computing security workshop (CCSW '12)
  2. Exploiting split browsers for efficiently protecting user data
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Detecting co-residency with active traffic analysis techniques
Unity: secure and durable personal cloud storage
LoSt: location based storage
CloudFilter: practical control of sensitive data propagation to the cloud
Fast dynamic extracted honeypots in cloud computing
Exploiting split browsers for efficiently protecting user data
Efficient query integrity for outsourced dynamic databases
Benchmarking cloud security level agreements using quantitative policy trees
Are AES x86 cache timing attacks still feasible?
Babel: a secure computer is a polyglot
Towards an interpreter for efficient encrypted computation
Managing trust and secrecy in identity management clouds
Towards a richer model of cloud app markets
What if we got a do-over?
Revisiting DNS and WHOIS in the cloud era
Practical applications of homomorphic encryption

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Exploiting split browsers for efficiently protecting user data

Content Provider ACM Digital Library
Author Keromytis, Angelos D. Athanasopoulos, Elias Portokalidis, Georgios Zavou, Angeliki
Abstract Offloading complex tasks to a resource-abundant environment like the cloud, can extend the capabilities of resource constrained mobile devices, extend battery life, and improve user experience. Split browsing is a new paradigm that adopts this strategy to improve web browsing on devices like smartphones and tablets. Split browsers offload computation to the cloud by design; they are composed by two parts, one running on the thin client and one in the cloud. Rendering takes place primarily in the latter, while a bitmap or a simplified web page is communicated to the client. Despite its difference with traditional web browsing, split browsing still suffers from the same types of threats, such as cross-site scripting. In this paper, we propose exploiting the design of split browsers to also utilize cloud resources for protecting against various threats efficiently. We begin by systematically studying split browsing architectures, and then proceed to propose two solutions, in parallel and inline cloning, that exploit the inherent features of this new browsing paradigm to accurately and efficiently protect user data against common web exploits. Our preliminary results suggest that our framework can be efficiently applied to Amazon's Silk, the most widely deployed at the time of writing, split browser.
Starting Page 37
Ending Page 42
Page Count 6
File Format PDF
ISBN 9781450316651
DOI 10.1145/2381913.2381921
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-10-19
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Information flow tracking Cross-site scripting Data protection Cloud Split browser architectures
Content Type Text
Resource Type Article
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