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» A Security Policy Model for Clinical Information Systems
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WWW
2011
ACM
13 years 3 months ago
Truthy: mapping the spread of astroturf in microblog streams
Online social media are complementing and in some cases replacing person-to-person social interaction and redefining the diffusion of information. In particular, microblogs have ...
Jacob Ratkiewicz, Michael Conover, Mark Meiss, Bru...
WORM
2003
13 years 10 months ago
Detection of injected, dynamically generated, and obfuscated malicious code
This paper presents DOME, a host-based technique for detecting several general classes of malicious code in software executables. DOME uses static analysis to identify the locatio...
Jesse C. Rabek, Roger I. Khazan, Scott M. Lewandow...
SAC
2010
ACM
14 years 3 months ago
Content cloaking: preserving privacy with Google Docs and other web applications
Web office suites such as Google Docs offer unparalleled collaboration experiences in terms of low software requirements, ease of use, data ubiquity, and availability. When the d...
Gabriele D'Angelo, Fabio Vitali, Stefano Zacchirol...
SIGCOMM
2009
ACM
14 years 3 months ago
PathForge: faithful anonymization of movement data
For most mobile networks, providers need the current position of their users to provide efficient service. The resulting motion data is not only an invaluable source for analyzing...
Sebastian Kay Belle, Marcel Waldvogel, Oliver Haas...
ICECCS
2005
IEEE
236views Hardware» more  ICECCS 2005»
14 years 2 months ago
Detecting Malicious JavaScript Code in Mozilla
The JavaScript language is used to enhance the clientside display of web pages. JavaScript code is downloaded into browsers and executed on-the-fly by an embedded interpreter. Br...
Oystein Hallaraker, Giovanni Vigna