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https://doi.org/10.1109/infoco...
Article . 2008 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.1109/infoco...
Article . 2008 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2017
Data sources: DBLP
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Cyber-Fraud is One Typo Away

Authors: Anirban Banerjee; Dhiman Barman; Michalis Faloutsos; Laxmi N. Bhuyan;

Cyber-Fraud is One Typo Away

Abstract

Spelling errors when typing a URL can be exploited by website-squatters: users are led to phony sites in a phenomenon we call parasitic URL naming. These phony sites imitate popular websites and try to extract personal information from unsuspecting users, or simply advertise and sell products to users. In this paper, we conduct a massive study in order to quantify the extent of this parasitic URL naming We start with a corpus of 900 popular websites, which we refer to as original URLs, and generate roughly 3 million URLs by varying the original names systematically and exhaustively. Over a period of 60 days, we analyze how many sites have URLs very similar to our original URLs. We find that parasitic URL naming is a wide-spread problem and quantify the extent of this issue. We believe that this work will provide the first step towards research and tools to combat web-fraud.

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
22
Top 10%
Top 10%
Average