Title | Intelligent Service Mesh Framework for API Security and Management |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Hussain, Fatima, Li, Weiyue, Noye, Brett, Sharieh, Salah, Ferworn, Alexander |
Conference Name | 2019 IEEE 10th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) |
Keywords | API calls, API creation, API management, API Mashups, API security, API service mesh security, APIs, application program interfaces, application programming interface, application programming interfaces, business data processing, compositionality, domain APIs, enterprise businesses, enterprise-level business development, intelligent service mesh framework, Istio, Kubernetes, Machine Learning enabled Security, pubcrawl, resilience, Resiliency, security framework, security of data, Service Mesh, service plane |
Abstract | With the advancements in enterprise-level business development, the demand for new applications and services is overwhelming. For the development and delivery of such applications and services, enterprise businesses rely on Application Programming Interfaces (APIs). API management and classification is a cumbersome task considering the rapid increase in the number of APIs, and API to API calls. API Mashups, domain APIs and API service mesh are a few recommended techniques for ease of API creation, management, and monitoring. API service mesh is considered as one of the techniques in this regard, in which the service plane and the control plane are separated for improving efficiency as well as security. In this paper, we propose and implement a security framework for the creation of a secure API service mesh using Istio and Kubernetes. Afterwards, we propose an smart association model for automatic association of new APIs to already existing categories of service mesh. To the best of our knowledge, this smart association model is the first of its kind. |
DOI | 10.1109/IEMCON.2019.8936216 |
Citation Key | hussain_intelligent_2019 |