Departmental Papers (CIS)

Document Type

Conference Paper

Subject Area

CPS Internet of Things

Date of this Version

4-13-2010

Comments

© ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in:

EUROSEC '10: Proceedings of the Third European Workshop on System Security. Paris, France. April 13, 2010.

http://doi.acm.org/10.1145/1752046.1752050

(A preliminary version was also published as UPENN-MS-CIS-10-05).

Abstract

Blatantly unproductive edits undermine the quality of the collaboratively-edited encyclopedia, Wikipedia. They not only disseminate dishonest and offensive content, but force editors to waste time undoing such acts of vandalism. Language- processing has been applied to combat these malicious edits, but as with email spam, these filters are evadable and computationally complex. Meanwhile, recent research has shown spatial and temporal features effective in mitigating email spam, while being lightweight and robust.

In this paper, we leverage the spatio-temporal properties of revision metadata to detect vandalism on Wikipedia. An administrative form of reversion called rollback enables the tagging of malicious edits, which are contrasted with nonoffending edits in numerous dimensions. Crucially, none of these features require inspection of the article or revision text. Ultimately, a classifier is produced which flags vandalism at performance comparable to the natural-language efforts we intend to complement (85% accuracy at 50% recall). The classifier is scalable (processing 100+ edits a second) and has been used to locate over 5,000 manually-confirmed incidents of vandalism outside our labeled set.

Keywords

Design, Measurement, Performance, Security, Wikipedia, spatio-temporal reputation, vandalism, collaborative software, content-based access control

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Date Posted: 20 April 2010

This document has been peer reviewed.