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International Conference on Network-Based Information Systems

NBiS 2017: Advances in Network-Based Information Systems pp 518–528Cite as

Study on Persuasion Effect of Computer Virus Measures Based on Collective Protection Motivation Theory

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Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

Abstract

Virus infections remain a problem for the PC owner. Despite receiving instructions on how to fix the virus and warnings about the dangers of not doing so, there are many cases where owners are still not taking the required recovery action. Research on individual behavior and decision-making in a virus-infection situation is important for developing protection systems for information security. This paper describes a threat appeals model for information security based on collective protection motivation theory. The analytical results obtained using this model are also discussed. Our results show that the response efficacy for the Japanese Students is effective in persuading a person to initiate protection measures. And the results also indicate that a trustworthy source of media for providing the security information is necessary to realize a protection measure for Australia students.

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References

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  2. Cyber Clean Center Activity Report. https://www.ccc.go.jp/en_report/201009/index.html

  3. Rogers, R.W.: Cognitive and physiological processes in fear appeals and attitude change: a revised theory of protection motivation. In: Cacioppo, J.T., Petty, R.E. (eds.) Social Psychophysiology, pp. 153–176. Guilford Press, New York (1983)

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Acknowledgements

We would like to thank Associate Professor Shun-ichi Kurino of Nihon University, from whom we received valuable advice and comments on this research. This research received the support of a grant-in-aid for scientific research in Japan (project no. 26330386).

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Authors and Affiliations

  1. Department of Mathematics, College of Science and Technology, Nihon University, Tokyo, Japan

    Noriaki Yoshikai & Kana Shimbo

  2. The School of Information Technologies, University of Sydney, Sydney, Australia

    John Stavrakakis

  3. Japan Organization for Employment of the Elderly, Persons with Disabilities and Job Seekers, Tokyo, Japan

    Toshio Takahashi

Authors
  1. Noriaki Yoshikai
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  2. Kana Shimbo
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  3. John Stavrakakis
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  4. Toshio Takahashi
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Corresponding author

Correspondence to Noriaki Yoshikai .

Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

Appendix: Decision of Latent Variables for Measurement Behavior Intention Model

Appendix: Decision of Latent Variables for Measurement Behavior Intention Model

Cognitive factors for information security are influenced by some outer factors, which are called latent variables. In this research, the latent variables are decided by two points:

  1. (1)

    From the viewpoints of factor analysis [10], the numbers of latent variables, which influence eight cognitive factors in the collective PMT, are decided.

  2. (2)

    The latent variables themselves are identified from the features of information security.

The purpose of factor analysis is to find out the factors hidden behind some variables. Among many methods for factor analysis, Kaiser Guttman rule and parallel analysis have been adopted for deciding the number. Both results show that the appropriate number of factors is three [7].

To identify the latent variables, we have analyzed the experimental data in Reference [6]. The result shows that a person who is going to cope with virus infection, in general, has high IT skill and deep IT knowledge, and he/she has already experienced virus infections.

We conclude that previous virus-infection experience, IT skill, and IT knowledge are identified as the latent variables which influence the cognitive factors for information security.

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Yoshikai, N., Shimbo, K., Stavrakakis, J., Takahashi, T. (2018). Study on Persuasion Effect of Computer Virus Measures Based on Collective Protection Motivation Theory. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_45

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_45

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

  • eBook Packages: EngineeringEngineering (R0)

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