Anomaly Detection on Cloud Application Based on Service Pattern Statistics

Abstract

In recent years flourishing internet booming cloud computing technology and increasing popularity of mobile technology have already change our life people can access data internet and cloud resources flexible without either time space or place limitation As a result internet and cloud computing technology have become popular issue now for example network security cloud security and web performance Our research mainly discussed how to inspect the web performance and web security with log on server The issue that either protocol disorder or lost file caused degradation of quality of server for instance spending too much responses time failure of service As mentioned above the user will lose interest in browsing website and company lose business opportunity furthermore it will be a great loss to user and the company which owned the website when the website become a target of advanced persistent threat (APT) Our research provides algorithm that we can inspect web performance and web security and tell abnormal behavior from standard model

Date of Award	2016 Aug 24
Original language	English
Supervisor	Jung-Shian Li (Supervisor)