The article “Hacking for Good: Leveraging HackerOne Data to Develop an Economic Model of Bug Bounties” is aimed at analyzing bug bounty programs, a cyber security service that benefits ethical hackers in corporate cyber infrastructure by letting them identify weaknesses. The survey with a large-scale data set brings in sensational clues around the economics of bug bounty (Sridhar & Ng, 2021). This is especially highlighted by the fact that it demonstrates how the cancellation-unifying price sensitivity of vulnerability searchers is trading in an environment insensitive to monetary factors. In this manner, the research further underlines the trend in the industry regarding the variant of bug report rates by the program age on bugs discovery procedure. This empirical research offers substantial comprehension into the power of bug bounty programs and their operation dynamics, calling attention to their critical role in improving cybersecurity across businesses and paying specific attention to smaller companies that might have resource limitations.
Sridhar, K., & Ng, M. (2021). Hacking for good: Leveraging HackerOne data to develop an economic model of Bug Bounties. Journal of Cybersecurity, 7(1), tyab007.
https://academic.oup.com/cybersecurity/article/7/1/tyab007/6168453?login=true