Abstract

 Distributed computing systems have become the backbone of modern data-intensive applications, enabling scalable processing across geographically dispersed nodes. However, the decentralized nature of these systems introduces significant security challenges, particularly in ensuring data confidentiality, integrity, and secure access control. Traditional software-based encryption mechanisms, while effective, often suffer from performance bottlenecks and increased vulnerability to sophisticated attacks such as memory scraping, side-channel exploits, and privilege escalation. This paper proposes a hardware-assisted encryption framework designed to enhance secure data management in distributed computing environments. The framework leverages trusted hardware components, such as Trusted Platform Modules (TPMs), Hardware Security Modules (HSMs), and secure enclaves, to offload cryptographic operations from software to hardware. By integrating hardware-level encryption with distributed system architectures, the proposed approach improves resistance to attacks while maintaining high performance and scalability. The framework supports secure data-at-rest, data-in-transit, and data-in-use protection, ensuring end-to-end security across distributed nodes. This study discusses the architectural design, operational workflow, and implementation considerations of the framework. Additionally, it evaluates the security benefits, performance implications, and limitations of hardware-assisted encryption. The findings suggest that incorporating hardware-based security primitives significantly strengthens data protection in distributed computing systems while reducing reliance on vulnerable software-only solutions