Anomaly Detection on Cloud Application Based on Service Pattern Statistics

論文翻譯標題: 基於服務特徵統計模型之雲端應用程式異常分析之研究
  • 張 家駿

學生論文: Master's Thesis


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
獎項日期2016 8月 24
監督員Jung-Shian Li (Supervisor)