Paper Key : IRJ************114
Author: Sherif M. Saif
Date Published: 02 Nov 2024
Abstract
Risk assessment is a fundamental component of information security management systems, involving the identification, evaluation, and prioritization of potential threats and vulnerabilities. The optimal allocation of resources to reduce the effects of these risks is a complex challenge, often requiring careful consideration of various factors. This paper serves as a proof-of-concept showcasing the potential and power of Z3 which is a Satisfiability Modulo Theories (SMT) solver, to resolving risk management optimization. By formulating the risk management problem as a mathematical model, we demonstrate the feasibility of using the Z3 SMT solver to identify optimal risk mitigation strategies, and prove that the solver can be used to determine the most efficient allocation of resources to implement the actionable controls for reducing the effects of risks. Hence the research proves the solver approach for addressing complex risk management challenges and optimizing information security investments.
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