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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM67835

Cybersecurity Awareness Among Internet Users

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67835

Volume:

10 |

10 |

Oct 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67835

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Sankpal Prasad Somnath

Sankpal Prasad Somnath

Department of Master of Computer Application

JCEI’s Jaihind Institute of Management and Research, Kuran, Pune

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Mentors

DBL

Dnyaneshwar Balu Lokhande

Department of Master of Computer Application

JCEI’s Jaihind Institute of Management and Research, Kuran, Pune

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Abstract

Widespread consumer reliance on mobile banking, virtual payments, and electronic commerce has exposed everyday internet subscribers to an aggressive array of digital hazards, including social engineering deception, phishing, credential theft, and ransomware extortion. While network security perimeters have matured, human cognitive vulnerability remains the primary entry point exploited during security compromises. This empirical study investigates the interplay among cybersecurity awareness, subjective risk appraisal, and practical defense habits among 412 active internet users. Grounded in the Knowledge-Attitude-Behavior (KAB) model and Protection Motivation Theory (PMT), our investigation evaluates subscriber capability across password hygiene, two-factor authentication (2FA), deceptive link detection, and public network precautions. Field findings uncover a pronounced 'knowledge-action gap': while 88.6% of respondents display sound theoretical comprehension of cyber perils, only 38.6% routinely apply essential safeguards in daily browsing. Multivariate logistic regression confirms that perceived self-efficacy (OR = 3.12, p < 0.001) and threat severity (OR = 2.45, p < 0.001) govern protective habit formation far more decisively than factual knowledge alone (OR = 1.28, p = 0.082). We propose actionable default protections and practical interventions to narrow this cognitive-behavioral divide.

KEYWORDS

digital threat perception online risk mitigation user behavioral hygiene Protection Motivation Theory cognitive-behavioral gap multi-factor verification social engineering resilience empirical user study.

Cite This Article

Sankpal Prasad Somnath, Dnyaneshwar Balu Lokhande, "Cybersecurity Awareness Among Internet Users," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-3, Oct 2026. https://doi.org/10.55041/IJSREM67835

Full Article/Conclusion

This investigation assessed the behavioral dynamics governing cybersecurity awareness and safety compliance across N = 412 active internet users. Our findings provide convincing empirical evidence that factual knowledge alone does not reliably translate into safe online habits. The pronounced divergence between awareness (88.6%) and daily practice (38.6%) demonstrates that user inaction is primarily driven by configuration friction, mental fatigue, and low self-efficacy rather than simple ignorance. Multivariate regression confirms that bolstering user confidence in operating defensive tools and cultivating realistic risk awareness exerts more than twice the behavioral influence of circulating factual threat warnings. Consequently, academic institutions and application developers must replace passive lecture-based compliance with seamless, friction-free default safeguards that shield consumers without overloading their cognitive bandwidth.

References

[1] M. Bada and M. A. Sasse, "Cybersecurity awareness campaigns: Why do they fail to change behaviour?" in Proc. Int. Conf. Cyber Situational Awareness, Data Anal. Assessment (CyberSA), 2020, pp. 118–129. [2] S. Hadlington, "Human factors in cybersecurity: Examining the link between internet addiction, impulsivity, and cyberloafing," Comput. Hum. Behav., vol. 115, p. 106606, 2021. [3] R. Wash and E. Cooper, "Who provides cybersecurity advice to non-experts? A study of social sources and trust," IEEE Trans. Prof. Commun., vol. 64, no. 3, pp. 248–262, 2021. [4] M. A. Al-Daeef, N. Basir, and M. T. Saudi, "Evaluating mobile user authentication behaviors through Protection Motivation Theory," IEEE Access, vol. 9, pp. 105214–105228, 2021. [5] N. A. Arachchilage and S. Love, "Security awareness of computer users: A phishing threat avoidance perspective," Comput. Hum. Behav., vol. 38, pp. 304–312, 2014. [6] J. Hair, W. Black, B. Babin, and R. Anderson, Multivariate Data Analysis, 8th ed. London, U.K.: Cengage Learning, 2019. [7] K. Parsons, A. McCormac, M. Pattinson, M. Butavicius, and C. Jerram, "The Human Aspects of Information Security Questionnaire (HAIS-Q): Two further investigations," Comput. Secur., vol. 45, pp. 109–122, 2014. [8] B. Bulgurcu, H. Cavusoglu, and I. Benbasat, "Information security policy compliance: An empirical study of rationality-based beliefs and information security awareness," MIS Q., vol. 34, no. 3, pp. 523–548, 2010. [9] R. W. Rogers, "A protection motivation theory of fear appeals and attitude change," J. Psychol., vol. 91, no. 1, pp. 93–114, 1975. [10] S. Sheng, B. Magnien, P. Kumaraguru, A. Acquisti, L. F. Cranor, J. Hong, and E. Nunge, "Anti-phishing education for the young: Designing an interactive game for children," in Proc. ACM Conf. Comput. Hum. Interact. (CHI), 2020, pp. 889–898.

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Publication Date

10/12/2026

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Review Rounds: 2

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