Sangam: A Confluence of Knowledge Streams

Identity theft prevention in CyberCIEGE

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dc.contributor Irvine, Cynthia E.
dc.contributor Clark, Paul C.
dc.contributor Thompson, Michael F.
dc.contributor Naval Postgraduate School (U.S.).
dc.contributor Computer Science
dc.creator Ruppar, Carrie Aliene
dc.date 2012-03-14T17:33:09Z
dc.date 2012-03-14T17:33:09Z
dc.date 2005-12
dc.date.accessioned 2022-05-19T07:29:21Z
dc.date.available 2022-05-19T07:29:21Z
dc.identifier http://hdl.handle.net/10945/1811
dc.identifier 63112805
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/99991
dc.description The increase in online activities which involve peopleâ s identification information means that identity theft has become a widespread computer security issue. Identity theft is defined as the misuse of personal information and identity. To address this problem, an Information Assurance training tool, such as CyberCIEGE, can be used for user awareness and education. This thesis incorporated current research on identity theft attacks and prevention techniques into a customized scenario definition file for the CyberCIEGE game engine. The scenario teaches players about methods of identity theft prevention in computing and networked environments by focusing on four main prevention techniques: updating antivirus protection regularly, being cautious about executable email attachments, resisting phishing attacks, and using secure web browser connections for online transactions. After scenario development, an informal test process of the Identity Theft scenario was conducted. Testing found that the experienced and expected results coincided. Recommendations for improvement of the CyberCIEGE game engine, Scenario Definition Tool, and Identity Theft scenario were also provided.
dc.description http://archive.org/details/identityftpreven109451811
dc.description Approved for public release; distribution is unlimited.
dc.format xii, 40 p. ;
dc.format application/pdf
dc.publisher Monterey, California. Naval Postgraduate School
dc.subject Computer science
dc.subject Social engineering
dc.title Identity theft prevention in CyberCIEGE
dc.type Thesis


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