Cloud Computing: Detection and Prevention of DDos Attacks Influencing the Adoption of Cloud Computing to the Small and Medium Enterprises in the Sri Lankan Business Context

Abstract: Cloud computing can be categorized as one of the most exciting technologies available due to the flexibility and the low-cost adaptability for the small and medium enterprises (SMEs). There are many advantages of moving SMEs to cloud such as business reputation, enhancing of the SMEs are some of them, but SMEs are slow to adopt them due to privacy concerns, security concerns and lack of cyber security knowledge. The purpose of this paper is to identify the Distributed Denial of Service attacks which is affecting the Sri Lankan SMEs when adopting to the cloud computing. This paper discusses about the three detection and prevention mechanism of the DDoS attacks it includes Pall Based detection, flow-based detection and Anomalies and frequency-based detection methods. Moreover, prevention mechanisms include preventing using machine learning, preventing using Neural Network and Deep Learning. Further this paper discuss why Sri Lanka is far behind the technology and what are the main factors affect for the SMEs face when adopting to the clod environment. Further this paper elaborates the impacts, latest tools, and technologies available for mitigation, data security and privacy concerns, legal issues, and standards available for the SMEs when adopting to the cloud environment.