CRDCPFSEOct 23, 2017

A JSON Token-Based Authentication and Access Management Schema for Cloud SaaS Applications

arXiv:1710.08281v150 citations
Originality Synthesis-oriented
AI Analysis

It addresses authentication and access management problems for cloud SaaS application users, presenting an incremental improvement.

This paper tackles security and privacy challenges in cloud computing by proposing a JSON token-based authentication and access management schema for cloud SaaS applications, resulting in a system described as secure, lightweight, and highly scalable.

Cloud computing is significantly reshaping the computing industry built around core concepts such as virtualization, processing power, connectivity and elasticity to store and share IT resources via a broad network. It has emerged as the key technology that unleashes the potency of Big Data, Internet of Things, Mobile and Web Applications, and other related technologies, but it also comes with its challenges - such as governance, security, and privacy. This paper is focused on the security and privacy challenges of cloud computing with specific reference to user authentication and access management for cloud SaaS applications. The suggested model uses a framework that harnesses the stateless and secure nature of JWT for client authentication and session management. Furthermore, authorized access to protected cloud SaaS resources have been efficiently managed. Accordingly, a Policy Match Gate (PMG) component and a Policy Activity Monitor (PAM) component have been introduced. In addition, other subcomponents such as a Policy Validation Unit (PVU) and a Policy Proxy DB (PPDB) have also been established for optimized service delivery. A theoretical analysis of the proposed model portrays a system that is secure, lightweight and highly scalable for improved cloud resource security and management.

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