[This article belongs to Volume - 54, Issue - 02]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-13-09-2022-301

Title : TRACING SUSPICIOUSEVENTS IN SERVERLESS SYSTEMS USING A GRAPH ONTOLOGICAL FRAMEWORK
Premnath Katkam, Dr. P. Anbalagan, Dr.V.V.S.S.S.Balaram

Abstract :

By offering several benefits such low starting cost, significant flexibility and scalability, and easy maintenance, cloud computing (CC) had facilitated amazing advancement. The popularity of CC has sparked interest in serverless applications among programmers who desire to create a variety of micro-services. However, despite the fact that there have been numerous studies on the creation of server-less applications based on CC over the last few years, the protection of the CC infrastructure has received the majority of attention, and as a result, serverless security architecture has received comparatively little investigations. In this article, we examine the secure programming practices for serverless services on CC and discuss potential risks. The Graph Ontological Framework technique is used to design the infrastructure for AWS based serverless systems, and major security concerns are found. Additionally, we offer a solution that is function and language-neutral, simple to incorporate into already-existing server-less infrastructures, and will aid in the development of more secured serverless models. According to our knowledge, the proposed ontology model is the very first monitoring framework especially designed to meet the needs of serverless systems.