| Empirical analysis of the effects of cyber security incidents. | |
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MedLine Citation:
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PMID: 19558397 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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We analyze the time series associated with web traffic for a representative set of online businesses that have suffered widely reported cyber security incidents. Our working hypothesis is that cyber security incidents may prompt (security conscious) online customers to opt out and conduct their business elsewhere or, at the very least, to refrain from accessing online services. For companies relying almost exclusively on online channels, this presents an important business risk. We test for structural changes in these time series that may have been caused by these cyber security incidents. Our results consistently indicate that cyber security incidents do not affect the structure of web traffic for the set of online businesses studied. We discuss various public policy considerations stemming from our analysis. |
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Authors:
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Ginger Davis; Alfredo Garcia; Weide Zhang |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S. Date: 2009-06-24 |
Journal Detail:
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Title: Risk analysis : an official publication of the Society for Risk Analysis Volume: 29 ISSN: 1539-6924 ISO Abbreviation: Risk Anal. Publication Date: 2009 Sep |
Date Detail:
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Created Date: 2009-08-25 Completed Date: 2009-11-09 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8109978 Medline TA: Risk Anal Country: United States |
Other Details:
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Languages: eng Pagination: 1304-16 Citation Subset: IM |
Affiliation:
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Department of Systems and Information Engineering, University of Virginia, 151 Engineer's Way, Charlottesville, VA 22904, USA. gingerdavis@virginia.edu |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Empirical Research Information Systems* Internet Models, Theoretical Security Measures* |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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