ABSTRACT

Security requirements for a product are often influenced by the federal, state, and local laws; organizational policies; and other regulations the product must comply with. Frequently, a single product must comply with multiple different regulatory documents which may or may not contain related statements. The goal of this research is to facilitate analysis of security regulations by automatically identifying relations between security regulations using natural language processing and machine learning.