Enhancing Data Security and Privacy in Cloud, SAP, and IoT Environments

Abstract

As digital transformation accelerates across industries, ensuring robust data security and privacy has become a paramount concern, particularly in environments like Cloud computing, SAP-based enterprise systems, and the Internet of Things (IoT). Each of these ecosystems introduces unique challenges and vulnerabilities, often targeted by increasingly sophisticated cyber threats. This research paper addresses the critical issue of enhancing data security and privacy across these environments by proposing a set of comprehensive, layered security solutions. The objectives of the study are threefold: (1) to evaluate current security practices within Cloud, SAP, and IoT environments, (2) to develop and test a multi-tiered framework for data protection, and (3) to assess the efficacy of the proposed framework through simulation-based testing.

To understand the security landscape comprehensively, the study begins with a literature review on the existing approaches and challenges in securing Cloud, SAP, and IoT ecosystems. Cloud environments, for example, often rely on shared infrastructure, exposing them to multi-tenancy risks and increased susceptibility to breaches. SAP systems, widely used for critical enterprise applications, face challenges due to their complexity and the need for role-based access control. Meanwhile, IoT devices, typically with minimal computing power, are especially vulnerable to attacks, posing risks of unauthorized data access and privacy breaches. The literature review reveals that while several solutions exist, few address these environments in an integrated manner, leaving gaps that adversaries could exploit.