JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Improving Security Awareness about Smishing through Experiment on the Optimistic Bias on Risk Perception
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Improving Security Awareness about Smishing through Experiment on the Optimistic Bias on Risk Perception
Kang, Ji Won; Lee, Ae Ri; Kim, Beomsoo;
  PDF(new window)
 Abstract
Recently, various risks of smartphone hacking are emerging. Smishing crime techniques become more cunning and its damage has been increasing, thereby requiring effective ways of preventing and coping with smishing. Especially, it is emphasized the need for smartphone users` security awareness and training besides technological approach. This study investigates the effective method for providing news messages in order to improve the perception of risk from smishing. This research empirically examines that the degree of optimistic bias on risk perception can vary depending on news frame, topic type, and involvement regarding smishing. Based on the findings, it identifies the factors influencing risk perception and verifies effective ways of promoting individual security awareness on smishing. The results of this study provide implications that assist in educating, campaigning and promoting information security awareness for smart device users.
 Keywords
Smishing;Optimistic bias on risk perception;News frame;Involvement;Topic type;
 Language
Korean
 Cited by
 References
1.
Park Sangho and Lee Junhyeong, "Proposing the Smishing Protection System through verifying authorization and pre-authentication," Review of KIISC, 23(6), pp. 5-12, Dec. 2013.

2.
Park Deawoo, "Analysis on mobile forensic of smishing hacking attack," Journal of Korea Institute of Information and Communication Engineering, 18(12), pp. 2878-2884, May 2014. crossref(new window)

3.
Inews, "Insufficient policy about human resources of anti-hacking and cyber security: Intensive saturation," 2015. Available: http://news.inews24.com/php/news_view.php?g_serial=920306&g_menu=020200&rrf=nv

4.
KISA, "2015 1Q Smishing analysis," Apr. 2015.

5.
Kim Jeahyun and Kim Jongki, "An Empirical Study on Interaction between Threats and Efficacy of Security : Focused on the Smart-phone Users," The Journal of Internet Electronic Commerce Research, 15(3), pp. 1-17, Jun. 2015. crossref(new window)

6.
Yang Junkeun, Ha Giung, and Kim Hakbeom, "Recent smartphone phishing cases and countermeasures," Review of KIISC, 23(4), pp. 73-81, Aug. 2013.

7.
Bem, D., The Concept of risk in the study of human behavior, Keynes, England: The Open University Press, 1980.

8.
Renn, O., Concepts of risk: a classification, Praeger, 1992.

9.
Weinstein, N. D., "Optimistic biases about personal risks," Science, vol. 246, no. 4935, pp. 1232-1233, Dec. 1989. crossref(new window)

10.
Bostrom, A. and Lofstedt, R. E., "Communicating risk: Wireless and hardwired," Risk analysis, vol. 23, no. 2, pp. 241-248, Apr. 2003. crossref(new window)

11.
Tyler, T. R. and Cook, F. L., "The mass media and judgments of risk: Distinguishing impact on personal and societal level judgments," Journal of Personality and Social Psychology, vol. 47, no. 4, pp. 693-708, Oct. 1984. crossref(new window)

12.
Weinstein, N. D., "Unrealistic optimism about future life events," Journal of Personality and Social Psychology, vol. 39, no. 5, pp. 806-820, Nov. 1980. crossref(new window)

13.
Lee Minyoung and Lee Jaeshin, "The Effects of Message Frame and Involvement on Optimistic Bias," Korean Journal of Communication & Information, 48, pp. 191-210, Nov. 2009.

14.
Klein, C. T. and Helweg-Larsen, M., "Perceived control and the optimistic bias: A meta-analytic review," Psychology and Health, vol. 17, no. 4, pp. 437-446, Oct. 2002. crossref(new window)

15.
Chapin, J. R., "Third-person perception and optimistic bias among urban minority at-risk youth," Communication Research, vol. 27, no. 1, pp. 51-81. Feb. 2000. crossref(new window)

16.
Borgida, E. and Brekke, N., "The base rate fallacy in attribution and prediction," New directions in attribution research, vol. 3, pp. 63-95, 1981.

17.
Snyder, L. B. and Rouse, R. A., "The media can have more than an impersonal impact: The case of AIDS risk perceptions and behavior," Health Communication, vol. 7, no. 2, pp.125-145, 1995. crossref(new window)

18.
Lee Jaeshin, "Exploring the Origin of Impersonal Impact on Risk Perception : Focusing on Risk Perception on Big Data," Korean Journal of Journalism & Communication Studies, 58(2), pp. 111-133, Apr. 2014.

19.
Lee Jaeshin and Choi Jiyoung, "Irrationality of Risk Judgment : Framing the Size of Risk Casualties and its Effects on Optimistic Bias," Korean Journal of Journalism & Communication Studies, 58(6), pp. 40-63, Dec. 2014.

20.
Reese, S. D., Gandy Jr, O. H., Gandy Jr, O. H., and Grant, A. E., Framing public life: Perspectives on media and our understanding of the social world, Routledge, 2001.

21.
Kim Seongjoon and Lee Changhyun, "An Experimental Study on the Effects of Television News Frame," Korean Journal of Communication & Information, 19, pp.95-123, Nov. 2002.

22.
De Vreese, C. H., "News framing: Theory and typology," Information Design Journal+Document Design, vol. 13, no. 1, pp. 51-62, 2005. crossref(new window)

23.
Trope, Y. and Liberman, N., "Temporal construal," Psychological Review, vol. 110, no. 3, pp. 403-421, Jul. 2003. crossref(new window)

24.
Kim Jaehwi, Kim Taehoon, and Park Inhee, "Effective persuasion message type depending on when people get the results of preventive behavior: Based on construal Level theory," Korean Journal of Consumer and Advertising Psychology, 11(3), pp. 451-474. Aug. 2010. crossref(new window)

25.
Petty, R. E. and Cacioppo, J. T., "Involvement and persuasion: Tradition versus integration," Psychological Bulletin, vol. 107, no. 3, pp. 367-374, May 1990. crossref(new window)

26.
Petty, R. E., Cacioppo, J. T., and Schumann, D., "Central and peripheral routes to advertising effectiveness: The moderating role of involvement," Journal of Consumer Research, vol. 10, no. 2, pp. 135-146. Sep. 1983. crossref(new window)

27.
Trumbo, C. W., "Heuristic Systematic Information Processing and Risk Judgment," Risk Analysis, vol. 19, no. 3, pp. 391-400, Jun. 1999.

28.
Chandran, S. and Menon, G., "When a day means more than a year: Effects of temporal framing on judgments of health risk," Journal of Consumer Research, vol. 31, no. 2, pp. 375-389, Sep. 2004. crossref(new window)

29.
Pinto-Prades, J. L., Martinez-Perez, J. E., and Abellan-Perpinan, J. M., "The influence of the ratio bias phenomenon on the elicitation of health states utilities," Judgment and Decision Making, vol. 1, no. 2, pp. 118-133, Nov. 2006.

30.
Yamigishi, K., "When a 12.86% mortality is more dangerous than 24.14%: Implications for risk communication," Applied Psychology, vol. 11, no. 6, pp. 495-506, Dec. 1997.

31.
Bonner, C. and Newell, B. R., "How to make a risk seem riskier: The ratio bias versus construal level theory," Judgment and Decision Making, vol. 3, no. 5, pp. 411-416, Jun. 2008.

32.
Choi Hyunkyung, Lee Myoungchun, and Kim Junghyun, "The Effects of Message Framing and Its Orientation on Public Service Advertisements: Focused on Safety-Driving PSA," The Korean Journal of Advertising and Public Relations, 10(2), pp. 34-65, Apr. 2008.

33.
Cha Dongpil and Han Gyuntae, "Perceived Impact of Knowledge about Others' Reaction to a Public Service Announcement on Self Persuasion and Third-Person Effect," Korean Journal of Journalism & Communication Studies, 47(3), pp. 38-59, Jun. 2003.

34.
Kim Maengjin, "A Study on the wine consumers perceived risk of purchasing by involvement," Korean Journal of Culinary Research, 14(4), pp. 232-243, Dec. 2008.

35.
Atwood, L. E., "Illusions of media power: The third-person effect," Journalism & Mass Communication Quarterly, vol. 71, no. 2, pp. 269-281, Jun. 1994. crossref(new window)

36.
Gunther, A. C. and Mundy, P., "Biased optimism and the third-person effect," Journalism & Mass Communication Quarterly, vol. 70, no. 1, pp. 58-67, Mar. 1993. crossref(new window)

37.
Lee Unkon, Lee Aeri, and Kim Kyungkyu, "The Effect of Anonymity on Virtual Team Performance in Online Communities," The Journal of Society for e-Business Studies, 20(1), pp. 217-241, Feb. 2015. crossref(new window)

38.
Campbell, D. T. and Stanley, J. C., Experimental and Quasi-Experimental Designs for Research, Rand McNally & Company, Chicago, 1963.

39.
Zaichkowsky, J. L., "Measuring the involvement construct," Journal of Consumer Research, vol. 12, no. 3, pp. 341-352, Dec. 1985. crossref(new window)

40.
Korean National Police Agency, "New financial crime," 2015. Available: http://www.police.go.kr/portal/main/contents.do?menuNo=200287