Exploring Advanced Cybersecurity Mechanisms for Attack Prevention in Cloud-Based Retail Ecosystems

Abstract

Abstract Cyber security is emerging as a crucial factor in guaranteeing operation security, confidentiality, and business continuity. A variety of approaches and strategies are available to prevent, detect, and counteract online threats. This study investigates the different opportunities advanced mechanisms in the cyber security domain can catch the improving sophistication of cyber threats. It also supplies a detailed reflection of the potential cyber defense patterns that can be learned in the retail industry. An existing taxonomy, incorporating security modules that cover varied types of security measures, is shared to improve the approach's developed design. A dataset on cloud-based retail ecosystem cyber threat modeling is analyzed and utilized. The detailed experience for model budget allocation is considered alongside cloud services' parameters. Simulations illustrate the significance of defensive strategies in defending cloud-based retail ecosystems from varied attacks. The growing digitization of retail services has led to e-commerce's widespread acceptance, consisting of online activities like the sharing of confidential and sensitive information for comparison and payment. However, these advantages have been challenged by security concerns. Cyber-attacks potentially damage e-commerce users, retailers, and third-party companies' private information, software and hardware. Each entity's hindrance is undermining confidence. Terrorists, wicked staff, family units, competitors, or ‘hacktivists’ aim to access or confuse the means and capture the identification, payment, and private information of honest parties.