Abstract
It has been reported that many Internet users do not recover personal computers (PCs) that have been infected by computer viruses. To address this problem, we have investigated how to motivate users to remove viruses from their PCs based on the Protection Motivation Theory. Previously, we have reported that the cognitive factors related to response efficacy, responsibility, percentage of performers, and group norm could affect the intention to recover an infected PC. In this study, we created the experimental content to stimulate these cognitive factors and conducted an experiment to verify whether the content would be effective to persuade Internet users to recover infected PCs. Our research confirmed that the content stimulated some cognitive factors and effectively persuaded users to recover their PCs. We also found that some users did not intend to cope with the virus infection because they did not consider the information about the virus infection to be credible.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
10 Threat of Information security. https://www.ipa.go.jp/files/000058504.pdf
Security in IoT era. http://www.jaist.ac.jp/is/labs/tan-lab/projects/160307IoTSecurityWS/201-ito-CCDS.pdf
Achievements of Cyber Clean Center in January 2011. https://www.telecom-isac.jp/ccc/report/201101/1101monthly.html
Hamatsu, S., Kurino, S., Yoshikai, N.: Measure behavior intention model for information security based on persuasion psychology and its application. Inf. Process. Soc. Jpn. 56(12), 2200–2209 (2015)
Yoshikai, N., Shimbo, K., Stravrakakis, J., Takahashi, T.: Study on persuasion effect of computer virus measures based on collective protection motivation theory. Lecture Notes on Data Engineering and Communications Technologies, vol. 7, pp. 518–528 (2017)
About Cyber Clean Center. https://www.telecom-isac.jp/ccc/
An anti-malware support project through the public-private partnership. https://www.ict-isac.jp/active/
Arimura, K.: Measure of Malware in Japan observed by an anti-bot virus project “Cyber Clean Center”. Inf. Process. Soc. Jpn. 51(3), 275–283 (2010)
Countermeasure of information security in MIC. http://www.kagawa-net.org/katsudou/h24/h240525lectureshiryou.pdf
Herzlich willkommen bei botfrei. https://www.botfrei.de/de/index.html
Statistical evaluation of the impact of the Pilot. https://acdc-project.eu/wp-content/uploads/2015/05/ACDC_D4.2_Statistical_Evaluation_final.pdf
Australian Internet Security Initiative. https://www.cert.gov.au/aisi
Fukada, H.: Persuasion Psychology Handbook. Kitaooji Shobo Publishing, Kyoto (2004)
Tozuka, T., Fukada, H.: A test of collective protection motivation theory in threat appeal persuasion. Jpn. J. Exp. Soc. Psychol. 44(1), 54–61 (2005)
Fogg, B.J.: Persuasive Technology: Using Computers to Change What We Think and Do. Morgan Kaufmann, Los Altos (2002)
The R Project for Statistical Computing. http://www.r-project.org/
Acknowledgements
We would like to thank Assistant Professor Daisuke Takagi of Tokyo University and Doctor Stavrakakis of Sydney University for their valuable advice and comments. In addition, we thank the members of our project team, Tasuku Komagome, Momomi Takahashi, and Akane Harada of Nihon University. We also thank Yusuke Kanehira and Kota Fujisaki (Nihon University) for their assistance in creating the experimental content.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Shimbo, K., Kurino, Si., Yoshikai, N. (2019). Verification of Persuasion Effect to Cope with Virus Infection Based on Collective Protection Motivation Theory. In: Barolli, L., Kryvinska, N., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-98530-5_67
Download citation
DOI: https://doi.org/10.1007/978-3-319-98530-5_67
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-98529-9
Online ISBN: 978-3-319-98530-5
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)