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Paper ID:IJSREM62917

BugSecure: Secure Crowdsourced Bug Bounty Platform for Vulnerability Managemen

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM62917

Volume:

10 |

5 |

May 2026

Pages:

1-10

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

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

Naman Babbar

Naman Babbar

Department of Computer Science and Engineering

MIT ADT University

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GK

Goutam Kumar

Department of Computer Science and Engineering

MIT ADT University

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VK

Vasu Kamra

Department of Computer Science and Engineering

MIT ADT University

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Mentors

DMT

Dr. Monali Tingane

Department of Computer Science and Engineering

MIT ADT University

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Abstract

This paper proposes a concept of a "Secure Crowd- sourced Bug Bounty Platform" that is intended to help connect organizations with ethical hackers, thereby enabling vulnerability management. This platform is intended to offer a framework with secure authentication, role-based access control, encryption, scalability, payment gateways, etc., to help small and medium enterprises carry out cost-effective vulnerability reporting.

KEYWORDS

Index Terms—Crowdsourcing Cybersecurity Bug Bounty Ethical Hacking Vulnerability Management Secure Platform Data Protection SMEs.

Cite This Article

Naman Babbar, Goutam Kumar, Vasu Kamra, Dr. Monali Tingane, "BugSecure: Secure Crowdsourced Bug Bounty Platform for Vulnerability Managemen," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 5, pp. 1-10, May 2026.

Full Article/Conclusion

We proposed BugSecure, a framework that enables the inte- gration of bug bounty programs with automated vulnerability management and secure development practices. Our evaluation showed promising improvements in the rate of vulnerabil- ity discoveries (40% increase in critical/high vulnerabilities discovered), time-to-triage (35% reduction in time-to-triage), time-to-validate (28% reduction in time-to-validate), and time- to-remediate (20% reduction in time-to-remediate) while keep- ing the FPR in automated triage below 15%. We strongly recommend the use of vulnerability disclosure policies [66], the integration of security in the development lifecycle [35], [51], and the use of both automated and human-driven testing approaches [28], [42]. The design and evaluation methodology of BugSecure are now available for the community, allowing researchers to build upon our work in the future, including reward program design [22], diversity in the researcher popu- lation [39], and the development of the legal framework [52] in the ongoing development of bug bounty programs

References

[1]     R. Karachiwalla and F. Pinkow, “A systematic literature review of crowdsourcing-based research in information security,” in Proc. Crowd- sourcing in Information Security, 2021. [2]     A. Sukumar, “Cyber risk assessment in small and medium-sized enter- prises (SMEs),” J. Cybersecurity SME, 2022. [3]     I. Dobák, “Crowdsourcing for security in the age of hybrid threats,” Security & Crowdsourcing, 2023. [4]     F. Igini, “The MTNK platform for making cybersecurity accessible to SMEs,” in Proc. Collaborative Security, 2022. [5]     J. Arshad, “A survey of bug bounty programs in strengthening cyberse- curity,” J. Cybersecurity Res., vol. 2, no. 3, pp. 10–25, 2024. [6]     M. Allamanis, E. T. Barr, P. Devanbu, and C. Sutton, “A survey of machine learning for big code and naturalness,” ACM Comput. Surv., vol. 51, no. 4, pp. 1–37, 2018. [7]     P. Anderson and R. Taylor, “Market for vulnerabilities: A reassessment,” J. Cybersecurity, vol. 5, no. 1, 2019. [8]     R. Anderson, Security Engineering: A Guide to Building Dependable Distributed Systems, 3rd ed. Wiley, 2020. [9]     A. Anton, J. Earp, and J. Young, “Measuring the effectiveness of privacy and security practices,” IEEE Secur. Privacy, vol. 11, no. 2, pp. 50–55, 2013. [10]    HackerOne, “HackerOne API documentation,” 2020. [Online]. Avail- able: https://api.hackerone.com

Editorial & Review Transparency

Publication Date

5/9/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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Conflict of Interest

The authors declare no conflict of interest related to this research work.

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