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School of phish: a real-world evaluation of anti-phishing training
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ACM International Conference Proceeding Series archive
Proceedings of the 5th Symposium on Usable Privacy and Security table of contents
Mountain View, California
SESSION: Mental models table of contents
Article No.: 3  
Year of Publication: 2009
ISBN:978-1-60558-736-3
Authors
Ponnurangam Kumaraguru  Carnegie Mellon University
Justin Cranshaw  Carnegie Mellon University
Alessandro Acquisti  Carnegie Mellon University
Lorrie Cranor  Carnegie Mellon University
Jason Hong  Carnegie Mellon University
Mary Ann Blair  Carnegie Mellon University
Theodore Pham  Carnegie Mellon University
Sponsors
: Carnegie Mellon CyLab
: Google
Publisher
ACM  New York, NY, USA
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ABSTRACT

PhishGuru is an embedded training system that teaches users to avoid falling for phishing attacks by delivering a training message when the user clicks on the URL in a simulated phishing email. In previous lab and real-world experiments, we validated the effectiveness of this approach. Here, we extend our previous work with a 515-participant, real-world study in which we focus on long-term retention and the effect of two training messages. We also investigate demographic factors that influence training and general phishing susceptibility. Results of this study show that (1) users trained with PhishGuru retain knowledge even after 28 days; (2) adding a second training message to reinforce the original training decreases the likelihood of people giving information to phishing websites; and (3) training does not decrease users' willingness to click on links in legitimate messages. We found no significant difference between males and females in the tendency to fall for phishing emails both before and after the training. We found that participants in the 18--25 age group were consistently more vulnerable to phishing attacks on all days of the study than older participants. Finally, our exit survey results indicate that most participants enjoyed receiving training during their normal use of email.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
J. R. Anderson and H. A. Simon. Situated learning and education. Educational Researcher, 25:5--11, 1996.
 
2
D. B. Buller and J. K. Burgoon. Interpersonal deception theory. Communication Theory, 6(3):203--242, 1996.
 
3
J. R. Carlson, J. F. George, J. K. Burgoon, M. Adkins, and C. H. White. Deception in computer-mediated communication. Group Decision and Negotiation, 13(1):5--28, 2004.
4
 
5
E. Ellis, L. Worthington, and M. Larkin. Research synthesis on effective teaching principles and the design of quality tools for educators. Technical report, National center to improve the tools of educators, 1994.
 
6
A. J. Ferguson. Fostering E-Mail Security Awareness: The West Point Carronade. EDUCASE Quarterly, (1), 2005.
7
 
8
P. Johnson, S. Grazioli, K. Jamal, and G. Berryman. Detecting deception: adversarial problem solving in a low base-rate world. Cognitive Science: A Multidisciplinary Journal, 25(3):355--392, 2001.
9
10
 
11
P. Kumaraguru, S. Sheng, A. Acquisti, L. Cranor, and J. Hong. Under review.
 
12
P. Kumaraguru, S. Sheng, A. Acquisti, L. F. Cranor, and J. Hong. Lessons from a real world evaluation of anti-phishing training. e-Crime Researchers Summit, Anti-Phishing Working Group, October 2008.
 
13
 
14
R. C. Miller and M. Wu. Fighting Phishing at the User Interface. O'Reilly, August 2005. In Lorrie Cranor and Simson Garfinkel (Eds.) Security and Usability: Designing Secure Systems that People Can Use.
 
15
T. Moore and R. Anderson. How brain type influences online safety. Working paper, July 2008.
 
16
R. A. Morin and A. Fernandez Suarez. Risk aversion revisited. Journal of Finance, 38(4):1201--16, September 1983.
 
17
New York State Office of Cyber Security&Critical Infrastructure Coordination. Gone phishing.. a briefing on the anti-phishing exercise initiative for new york state government. Aggregate Exercise Results for public release., 2005.
 
18
R. A. Schmidt and R. A. Bjork. New conceptualizations of practice: Common principles in three paradigms suggest new concepts for training. Psychological Science, 3(4):207--217, July 1992.
19
 
20
E. Spagat. Justice department hoaxes employees. News article, January 2009. http://news.yahoo.com/s/ap/20090129/ap_on_go_ca_st_pe/justice_hoax.
 
21
G. Stefano. Where did they go wrong? an analysis of the failure of knowledgeable internet consumers to detect deception over the internet. Group Decision and Negotiation, 13:149--172, March 2004.

Collaborative Colleagues:
Ponnurangam Kumaraguru: colleagues
Justin Cranshaw: colleagues
Alessandro Acquisti: colleagues
Lorrie Cranor: colleagues
Jason Hong: colleagues
Mary Ann Blair: colleagues
Theodore Pham: colleagues