A Predictive Analytical Model for Software Vulnerability

Tech ID: 17B181

Competitive Advantages

  • Future vulnerabilites can be anticipated easily
  • Improved software security
  • Helps developers allocate resources efficiently and implement counter measures

Summary

Researchers at USF have created a novel technology that efficiently helps developers of the OS examine the software readiness by predicting its future vulnerability trend. The analytical model strongly captures the complicated linear and nonlinear behavior of the historically available data points and predicts the future vulnerabilities. Each version of the software is considered individually to tackle all the loopholes and make it more secure. 

Number of Vulnerabilities Versus Time on Monthly Basis 

Desired Partnerships

  • License
  • Sponsored Research
  • Co-Development

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