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 |
|