The Analysis of Cyber security in Intelligent Transportation Systems Using Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Method

Abstract

Cyber security has become a critical concern in today's interconnected world, with the escalating frequency and sophistication of cyber threats. To effectively protect digital assets and sensitive information, organizations must adopt robust cybersecurity systems. The Multi-Objective Optimization on the basis of Ratio Analysis (MOORA) method has emerged as a promising approach for evaluating and improving cybersecurity systems.This research presents an innovative application of the MOORA method to enhance cybersecurity systems. The MOORA method is a Multi-Criteria Decision Analysis (MCDA) technique that enables decision-makers to rank alternatives based on multiple criteria, ultimately aiding in selecting the most suitable solution. In the context of cybersecurity, various evaluation criteria are considered, such as threat detection accuracy, incident response time, scalability, resource utilization, and cost-effectiveness.Through the integration of the MOORA method, this study offers a systematic and quantitative assessment of cybersecurity systems, addressing the limitations of traditional evaluation techniques that often overlook the complexity of cyber threats. By prioritizing the criteria most relevant to an organization's specific needs and risk profile, decision-makers can make informed choices about investing in the right cybersecurity measures.The practical implementation of the proposed MOORA-based cybersecurity system is demonstrated using real-world data from a diverse set of organizations. The results showcase the effectiveness of the method in guiding cybersecurity decision-making, leading to the identification of optimal solutions that strike the best balance between performance, cost, and resource allocation.The alternatives are A1 is Providing only essential information and continuing to use the service or product, A2 is Giving wrong or partially wrong information as personal data (misinformation), A3 is Closing the account, disposing of, or deactivating the smart device or application and A4 limiting the use of the application, financial institution, or device. The Evaluation parameters are C1 is Low trust in the firm, device, or application, C2 is Poor referrals or negative word-of-mouth from previous users about the service or app, C3 is Negative previous online experience, C4 is Being tech-savvy, experienced, and knowledgeable about recent trends in data privacy and cybersecurity, C5 is The firm or institution not meeting essential privacy and security expectations, such as privacy policies, notices (cookies), seals, etc and C6 is Perceiving that the benefits outweigh the risks of disclosing information.The final result is Limit the use of application, financial institution or device, etc (A4) is got first rank and Provision of strictly necessary Information and continue the use of service or product (A1) is got lowest rank.