Enhancing Higher Education Security Through Fog/Edge Computing: A Novel Approach

Abstract

Fog/Edge computing represents a transformative paradigm in the realm of computing, extending the capabilities of traditional cloud computing to the edge of the network. This approach enables real-time data processing and reduces latency, thereby offering immense potential for revolutionizing various sectors, including higher education. The higher education system faces numerous challenges, among which data security and privacy concerns loom large. With the proliferation of digital platforms for learning and administrative purposes, educational institutions are increasingly vulnerable to data breaches and unauthorized access. However, edge computing emerges as a beacon of hope, offering a solution to these pressing security issues. By leveraging edge devices deployed within educational institutions, sensitive data can be processed and stored locally, minimizing exposure to potential threats from external entities. Our proposed methodology involves the strategic deployment of edge devices equipped with robust security measures, including encryption techniques and access controls. This approach ensures that sensitive educational data remains protected against unauthorized access or breaches while still facilitating efficient data processing. Moreover, by distributing computational tasks closer to end-users, this methodology reduces reliance on centralized servers, thereby enhancing overall system efficiency. The adoption of this novel approach brings forth a plethora of benefits to the higher education system. Not only does it bolster data security and privacy protection, but it also enhances data processing efficiency and reduces latency.